Fix: When I click to interrupt the chat, the page reports an error #10553 (#10554)

### What problem does this PR solve?
Fix: When I click to interrupt the chat, the page reports an error
#10553

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

.gitignore

@@ -149,6 +149,7 @@ out
 # Nuxt.js build / generate output
 .nuxt
 dist
+admin/release
 
 # Gatsby files
 .cache/

admin/README.md

@@ -15,22 +15,48 @@ It consists of a server-side Service and a command-line client (CLI), both imple
 - **Admin Service**: A backend service that interfaces with the RAGFlow system to execute administrative operations and monitor its status.
 - **Admin CLI**: A command-line interface that allows users to connect to the Admin Service and issue commands for system management.
 
+
+
 ### Starting the Admin Service
 
+#### Launching from source code
+
 1. Before start Admin Service, please make sure RAGFlow system is already started.
 
-2.  Run the service script:
+2. Launch from source code:
+
    ```bash
    python admin/admin_server.py
    ```
    The service will start and listen for incoming connections from the CLI on the configured port. 
 
+#### Using docker image
+
+1. Before startup, please configure the `docker_compose.yml`  file to enable admin server:
+
+   ```bash
+   command:
+     - --enable-adminserver
+   ```
+
+2. Start the containers, the service will start and listen for incoming connections from the CLI on the configured port.
+
+
+
 ### Using the Admin CLI
 
 1.  Ensure the Admin Service is running.
-2.  Launch the CLI client:
+2.  Install ragflow-cli.
     ```bash
-    python admin/admin_client.py -h 0.0.0.0 -p 9381
+    pip install ragflow-cli
+    ```
+3.  Launch the CLI client:
+    ```bash
+    ragflow-cli -h 0.0.0.0 -p 9381
+    ```
+	Enter superuser's password to login. Default password is `admin`.
+
+
 
 ## Supported Commands
 
@@ -42,12 +68,7 @@ Commands are case-insensitive and must be terminated with a semicolon (`;`).
     -   Lists all available services within the RAGFlow system.
 -   `SHOW SERVICE <id>;`
     -   Shows detailed status information for the service identified by `<id>`.
--   `STARTUP SERVICE <id>;`
+
-    -   Attempts to start the service identified by `<id>`.
--   `SHUTDOWN SERVICE <id>;`
-    -   Attempts to gracefully shut down the service identified by `<id>`.
--   `RESTART SERVICE <id>;`
-    -   Attempts to restart the service identified by `<id>`.
 
 ### User Management Commands
 
@@ -55,10 +76,17 @@ Commands are case-insensitive and must be terminated with a semicolon (`;`).
     -   Lists all users known to the system.
 -   `SHOW USER '<username>';`
     -   Shows details and permissions for the specified user. The username must be enclosed in single or double quotes.
+
+- `CREATE USER <username> <password>;`
+  - Create user by username and password. The username and password must be enclosed in single or double quotes.
+
 -   `DROP USER '<username>';`
     -   Removes the specified user from the system. Use with caution.
 -   `ALTER USER PASSWORD '<username>' '<new_password>';`
     -   Changes the password for the specified user.
+-   `ALTER USER ACTIVE <username> <on/off>;`
+    -   Changes the user to active or inactive.
+
 
 ### Data and Agent Commands
 

admin/admin_client.py

@@ -16,14 +16,14 @@
 
 import argparse
 import base64
+from cmd import Cmd
 
 from Cryptodome.PublicKey import RSA
 from Cryptodome.Cipher import PKCS1_v1_5 as Cipher_pkcs1_v1_5
 from typing import Dict, List, Any
-from lark import Lark, Transformer, Tree
+from lark import Lark, Transformer, Tree, Token
 import requests
 from requests.auth import HTTPBasicAuth
-from api.common.base64 import encode_to_base64
 
 GRAMMAR = r"""
 start: command
@@ -100,7 +100,6 @@ NUMBER: /[0-9]+/
 %ignore WS
 """
 
-
 class AdminTransformer(Transformer):
 
     def start(self, items):
@@ -183,7 +182,6 @@ class AdminTransformer(Transformer):
     def meta_args(self, items):
         return items
 
-
 def encrypt(input_string):
     pub = '-----BEGIN PUBLIC KEY-----\nMIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEArq9XTUSeYr2+N1h3Afl/z8Dse/2yD0ZGrKwx+EEEcdsBLca9Ynmx3nIB5obmLlSfmskLpBo0UACBmB5rEjBp2Q2f3AG3Hjd4B+gNCG6BDaawuDlgANIhGnaTLrIqWrrcm4EMzJOnAOI1fgzJRsOOUEfaS318Eq9OVO3apEyCCt0lOQK6PuksduOjVxtltDav+guVAA068NrPYmRNabVKRNLJpL8w4D44sfth5RvZ3q9t+6RTArpEtc5sh5ChzvqPOzKGMXW83C95TxmXqpbK6olN4RevSfVjEAgCydH6HN6OhtOQEcnrU97r9H0iZOWwbw3pVrZiUkuRD1R56Wzs2wIDAQAB\n-----END PUBLIC KEY-----'
     pub_key = RSA.importKey(pub)
@@ -191,13 +189,50 @@ def encrypt(input_string):
     cipher_text = cipher.encrypt(base64.b64encode(input_string.encode('utf-8')))
     return base64.b64encode(cipher_text).decode("utf-8")
 
+def encode_to_base64(input_string):
+    base64_encoded = base64.b64encode(input_string.encode('utf-8'))
+    return base64_encoded.decode('utf-8')
 
-class AdminCommandParser:
+class AdminCLI(Cmd):
     def __init__(self):
+        super().__init__()
         self.parser = Lark(GRAMMAR, start='start', parser='lalr', transformer=AdminTransformer())
         self.command_history = []
+        self.is_interactive = False
+        self.admin_account = "admin@ragflow.io"
+        self.admin_password: str = "admin"
+        self.host: str = ""
+        self.port: int = 0
 
-    def parse_command(self, command_str: str) -> Dict[str, Any]:
+    intro = r"""Type "\h" for help."""
+    prompt = "admin> "
+
+    def onecmd(self, command: str) -> bool:
+        try:
+            print(f"command: {command}")
+            result = self.parse_command(command)
+            self.execute_command(result)
+
+            if isinstance(result, Tree):
+                return False
+
+            if result.get('type') == 'meta' and result.get('command') in ['q', 'quit', 'exit']:
+                return True
+
+        except KeyboardInterrupt:
+            print("\nUse '\\q' to quit")
+        except EOFError:
+            print("\nGoodbye!")
+            return True
+        return False
+
+    def emptyline(self) -> bool:
+        return False
+
+    def default(self, line: str) -> bool:
+        return self.onecmd(line)
+
+    def parse_command(self, command_str: str) -> dict[str, str] | Tree[Token]:
         if not command_str.strip():
             return {'type': 'empty'}
 
@@ -209,16 +244,6 @@ class AdminCommandParser:
         except Exception as e:
             return {'type': 'error', 'message': f'Parse error: {str(e)}'}
 
-
-class AdminCLI:
-    def __init__(self):
-        self.parser = AdminCommandParser()
-        self.is_interactive = False
-        self.admin_account = "admin@ragflow.io"
-        self.admin_password: str = "admin"
-        self.host: str = ""
-        self.port: int = 0
-
     def verify_admin(self, args):
 
         conn_info = self._parse_connection_args(args)
@@ -323,7 +348,7 @@ class AdminCLI:
                     continue
 
                 print(f"command: {command}")
-                result = self.parser.parse_command(command)
+                result = self.parse_command(command)
                 self.execute_command(result)
 
                 if isinstance(result, Tree):
@@ -610,10 +635,17 @@ def main():
         /_/ |_/_/  |_\____/_/   /_/\____/|__/|__/  /_/  |_\__,_/_/ /_/ /_/_/_/ /_/ 
         """)
         if cli.verify_admin(sys.argv):
-            cli.run_interactive()
+            cli.cmdloop()
     else:
+        print(r"""
+            ____  ___   ______________                 ___       __          _     
+           / __ \/   | / ____/ ____/ /___ _      __   /   | ____/ /___ ___  (_)___ 
+          / /_/ / /| |/ / __/ /_  / / __ \ | /| / /  / /| |/ __  / __ `__ \/ / __ \
+         / _, _/ ___ / /_/ / __/ / / /_/ / |/ |/ /  / ___ / /_/ / / / / / / / / / /
+        /_/ |_/_/  |_\____/_/   /_/\____/|__/|__/  /_/  |_\__,_/_/ /_/ /_/_/_/ /_/ 
+        """)
         if cli.verify_admin(sys.argv):
-            cli.run_interactive()
+            cli.cmdloop()
             # cli.run_single_command(sys.argv[1:])
 
 

admin/build_cli_release.sh

@@ -0,0 +1,47 @@
+#!/bin/bash
+
+set -e
+
+echo "🚀 Start building..."
+echo "================================"
+
+PROJECT_NAME="ragflow-cli"
+
+RELEASE_DIR="release"
+BUILD_DIR="dist"
+SOURCE_DIR="src"
+PACKAGE_DIR="ragflow_cli"
+
+echo "🧹 Clean old build folder..."
+rm -rf release/
+
+echo "📁 Prepare source code..."
+mkdir release/$PROJECT_NAME/$SOURCE_DIR -p
+cp pyproject.toml release/$PROJECT_NAME/pyproject.toml
+cp README.md release/$PROJECT_NAME/README.md
+
+mkdir release/$PROJECT_NAME/$SOURCE_DIR/$PACKAGE_DIR -p
+cp admin_client.py release/$PROJECT_NAME/$SOURCE_DIR/$PACKAGE_DIR/admin_client.py
+
+if [ -d "release/$PROJECT_NAME/$SOURCE_DIR" ]; then
+    echo "✅ source dir: release/$PROJECT_NAME/$SOURCE_DIR"
+else
+    echo "❌ source dir not exist: release/$PROJECT_NAME/$SOURCE_DIR"
+    exit 1
+fi
+
+echo "🔨 Make build file..."
+cd release/$PROJECT_NAME
+export PYTHONPATH=$(pwd)
+python -m build
+
+echo "✅ check build result..."
+if [ -d "$BUILD_DIR" ]; then
+    echo "📦 Package generated:"
+    ls -la $BUILD_DIR/
+else
+    echo "❌ Build Failed: $BUILD_DIR not exist."
+    exit 1
+fi
+
+echo "🎉 Build finished successfully!"

admin/pyproject.toml

@@ -0,0 +1,24 @@
+[project]
+name = "ragflow-cli"
+version = "0.21.0.dev2"
+description = "Admin Service's client of [RAGFlow](https://github.com/infiniflow/ragflow). The Admin Service provides user management and system monitoring. "
+authors = [{ name = "Lynn", email = "lynn_inf@hotmail.com" }]
+license = { text = "Apache License, Version 2.0" }
+readme = "README.md"
+requires-python = ">=3.10,<3.13"
+dependencies = [
+    "requests>=2.30.0,<3.0.0",
+    "beartype>=0.18.5,<0.19.0",
+    "pycryptodomex>=3.10.0",
+    "lark>=1.1.0",
+]
+
+[dependency-groups]
+test = [
+    "pytest>=8.3.5",
+    "requests>=2.32.3",
+    "requests-toolbelt>=1.0.0",
+]
+
+[project.scripts]
+ragflow-cli = "ragflow_cli.admin_client:main"

admin/services.py

@@ -177,8 +177,17 @@ class ServiceMgr:
     def get_all_services():
         result = []
         configs = SERVICE_CONFIGS.configs
-        for config in configs:
+        for service_id, config in enumerate(configs):
-            result.append(config.to_dict())
+            config_dict = config.to_dict()
+            try:
+                service_detail = ServiceMgr.get_service_details(service_id)
+                if service_detail['alive']:
+                    config_dict['status'] = 'Alive'
+                else:
+                    config_dict['status'] = 'Timeout'
+            except Exception:
+                config_dict['status'] = 'Timeout'
+            result.append(config_dict)
         return result
 
     @staticmethod

api/apps/document_app.py

@@ -568,7 +568,7 @@ def change_parser():
 
     def reset_doc():
         nonlocal doc
-        e = DocumentService.update_by_id(doc.id, {"parser_id": req["parser_id"], "progress": 0, "progress_msg": "", "run": TaskStatus.UNSTART.value})
+        e = DocumentService.update_by_id(doc.id, {"pipeline_id": req["pipeline_id"], "parser_id": req["parser_id"], "progress": 0, "progress_msg": "", "run": TaskStatus.UNSTART.value})
         if not e:
             return get_data_error_result(message="Document not found!")
         if doc.token_num > 0:

api/db/services/knowledgebase_service.py

@@ -397,9 +397,10 @@ class KnowledgebaseService(CommonService):
         else:
             kbs = kbs.order_by(cls.model.getter_by(orderby).asc())
 
+        total = kbs.count()
         kbs = kbs.paginate(page_number, items_per_page)
 
-        return list(kbs.dicts()), kbs.count()
+        return list(kbs.dicts()), total
 
     @classmethod
     @DB.connection_context()

api/utils/api_utils.py

@@ -151,10 +151,12 @@ def get_data_error_result(code=settings.RetCode.DATA_ERROR, message="Sorry! Data
 def server_error_response(e):
     logging.exception(e)
     try:
-        if e.code == 401:
+        msg = repr(e).lower()
-            return get_json_result(code=401, message=repr(e))
+        if getattr(e, "code", None) == 401 or ("unauthorized" in msg) or ("401" in msg):
-    except BaseException:
+            return get_json_result(code=settings.RetCode.UNAUTHORIZED, message=repr(e))
-        pass
+    except Exception as ex:
+        logging.warning(f"error checking authorization: {ex}")
+
     if len(e.args) > 1:
         try:
             serialized_data = serialize_for_json(e.args[1])

docs/faq.mdx

@@ -40,19 +40,9 @@ Each RAGFlow release is available in two editions:
 RAGFlow offers two Docker image editions, `v0.20.5-slim` and `v0.20.5`:  
   
 - `infiniflow/ragflow:v0.20.5-slim` (default): The RAGFlow Docker image without embedding models.  
-- `infiniflow/ragflow:v0.20.5`: The RAGFlow Docker image with embedding models including:
+- `infiniflow/ragflow:v0.20.5`: The RAGFlow Docker image with the following built-in embedding models:
-  - Built-in embedding models:
   - `BAAI/bge-large-zh-v1.5`
   - `maidalun1020/bce-embedding-base_v1`
-  - Embedding models that will be downloaded once you select them in the RAGFlow UI:
-    - `BAAI/bge-base-en-v1.5`
-    - `BAAI/bge-large-en-v1.5`
-    - `BAAI/bge-small-en-v1.5`
-    - `BAAI/bge-small-zh-v1.5`
-    - `jinaai/jina-embeddings-v2-base-en`
-    - `jinaai/jina-embeddings-v2-small-en`
-    - `nomic-ai/nomic-embed-text-v1.5`
-    - `sentence-transformers/all-MiniLM-L6-v2`
 
 ---
 

docs/guides/manage_users_and_services.md

@@ -12,33 +12,50 @@ The Admin CLI and Admin Service form a client-server architectural suite for RAG
 
 
 
-## Starting the Admin Service
+### Starting the Admin Service
+
+#### Launching from source code
 
 1. Before start Admin Service, please make sure RAGFlow system is already started.
-2. Switch to ragflow/ directory and run the service script:
 
-```bash
+2. Launch from source code:
-source .venv/bin/activate
-export PYTHONPATH=$(pwd)
-python admin/admin_server.py
-```
 
-The service will start and listen for incoming connections from the CLI on the configured port. Default port is 9381.
+   ```bash
+   python admin/admin_server.py
+   ```
+
+   The service will start and listen for incoming connections from the CLI on the configured port. 
+
+#### Using docker image
+
+1. Before startup, please configure the `docker_compose.yml`  file to enable admin server:
+
+   ```bash
+   command:
+     - --enable-adminserver
+   ```
+
+2. Start the containers, the service will start and listen for incoming connections from the CLI on the configured port.
 
 
 
-## Using the Admin CLI
+### Using the Admin CLI
 
 1. Ensure the Admin Service is running.
-2. Launch the CLI client:
 
-```bash
+2. Install ragflow-cli.
-source .venv/bin/activate
-export PYTHONPATH=$(pwd)
-python admin/admin_client.py -h 0.0.0.0 -p 9381
-```
 
-Enter superuser's password to login. Default password is `admin`.
+   ```bash
+   pip install ragflow-cli
+   ```
+
+3. Launch the CLI client:
+
+   ```bash
+   ragflow-cli -h 0.0.0.0 -p 9381
+   ```
+
+​	Enter superuser's password to login. Default password is `admin`.
 
 
 
@@ -121,16 +138,16 @@ Commands are case-insensitive and must be terminated with a semicolon(;).
 admin> list services;
 command: list services;
 Listing all services
-+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
++-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+---------+
-| extra                                                                                     | host      | id | name          | port  | service_type   |
+| extra                                                                                     | host      | id | name          | port  | service_type   | status  |
-+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
++-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+---------+
-| {}                                                                                        | 0.0.0.0   | 0  | ragflow_0     | 9380  | ragflow_server |
+| {}                                                                                        | 0.0.0.0   | 0  | ragflow_0     | 9380  | ragflow_server | Timeout |
-| {'meta_type': 'mysql', 'password': 'infini_rag_flow', 'username': 'root'}                 | localhost | 1  | mysql         | 5455  | meta_data      |
+| {'meta_type': 'mysql', 'password': 'infini_rag_flow', 'username': 'root'}                 | localhost | 1  | mysql         | 5455  | meta_data      | Alive   |
-| {'password': 'infini_rag_flow', 'store_type': 'minio', 'user': 'rag_flow'}                | localhost | 2  | minio         | 9000  | file_store     |
+| {'password': 'infini_rag_flow', 'store_type': 'minio', 'user': 'rag_flow'}                | localhost | 2  | minio         | 9000  | file_store     | Alive   |
-| {'password': 'infini_rag_flow', 'retrieval_type': 'elasticsearch', 'username': 'elastic'} | localhost | 3  | elasticsearch | 1200  | retrieval      |
+| {'password': 'infini_rag_flow', 'retrieval_type': 'elasticsearch', 'username': 'elastic'} | localhost | 3  | elasticsearch | 1200  | retrieval      | Alive   |
-| {'db_name': 'default_db', 'retrieval_type': 'infinity'}                                   | localhost | 4  | infinity      | 23817 | retrieval      |
+| {'db_name': 'default_db', 'retrieval_type': 'infinity'}                                   | localhost | 4  | infinity      | 23817 | retrieval      | Timeout |
-| {'database': 1, 'mq_type': 'redis', 'password': 'infini_rag_flow'}                        | localhost | 5  | redis         | 6379  | message_queue  |
+| {'database': 1, 'mq_type': 'redis', 'password': 'infini_rag_flow'}                        | localhost | 5  | redis         | 6379  | message_queue  | Alive   |
-+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
++-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+---------+
 
 ```
 

docs/references/python_api_reference.md

@@ -704,10 +704,9 @@ print("Async bulk parsing initiated.")
 DataSet.parse_documents(document_ids: list[str]) -> list[tuple[str, str, int, int]]
 ```
 
-Parses documents **synchronously** in the current dataset.  
+*Asynchronously* parses documents in the current dataset.
-This method wraps `async_parse_documents()` and automatically waits for all parsing tasks to complete.  
+
-It returns detailed parsing results, including the status and statistics for each document.  
+This method encapsulates `async_parse_documents()`. It awaits the completion of all parsing tasks before returning detailed results, including the parsing status and statistics for each document. If a keyboard interruption occurs (e.g., `Ctrl+C`), all pending parsing tasks will be cancelled gracefully.
-If interrupted by the user (e.g. `Ctrl+C`), all pending parsing jobs will be cancelled gracefully.
 
 #### Parameters
 
@@ -718,15 +717,16 @@ The IDs of the documents to parse.
 #### Returns
 
 A list of tuples with detailed parsing results:
+
 ```python
 [
   (document_id: str, status: str, chunk_count: int, token_count: int),
   ...
 ]
 ```
-- **status** — Final parsing state (`success`, `failed`, `cancelled`, etc.)  
+- `status`: The final parsing state (e.g., `success`, `failed`, `cancelled`).  
-- **chunk_count** — Number of content chunks created for the document.  
+- `chunk_count`: The number of content chunks created from the document.  
-- **token_count** — Total number of tokens processed.  
+- `token_count`: The total number of tokens processed.  
 
 ---
 

docs/release_notes.md

@@ -580,7 +580,7 @@ Released on September 30, 2024.
 
 ### Compatibility changes
 
-From this release onwards, RAGFlow offers slim editions of its Docker images to improve the experience for users with limited Internet access. A slim edition of RAGFlow's Docker image does not include built-in BGE/BCE embedding models and has a size of about 1GB; a full edition of RAGFlow is approximately 9GB and includes both built-in embedding models and embedding models that will be downloaded once you select them in the RAGFlow UI.
+From this release onwards, RAGFlow offers slim editions of its Docker images to improve the experience for users with limited Internet access. A slim edition of RAGFlow's Docker image does not include built-in BGE/BCE embedding models and has a size of about 1GB; a full edition of RAGFlow is approximately 9GB and includes two built-in embedding models.
 
 The default Docker image edition is `nightly-slim`. The following list clarifies the differences between various editions:
 

rag/flow/hierarchical_merger/hierarchical_merger.py

@@ -166,7 +166,7 @@ class HierarchicalMerger(ProcessBase):
                 img = None
                 for i in path:
                     txt += lines[i] + "\n"
-                    concat_img(img, id2image(section_images[i], partial(STORAGE_IMPL.get)))
+                    concat_img(img, id2image(section_images[i], partial(STORAGE_IMPL.get, tenant_id=self._canvas._tenant_id)))
                 cks.append(txt)
                 images.append(img)
 
@@ -180,7 +180,7 @@ class HierarchicalMerger(ProcessBase):
             ]
             async with trio.open_nursery() as nursery:
                 for d in cks:
-                    nursery.start_soon(image2id, d, partial(STORAGE_IMPL.put), get_uuid())
+                    nursery.start_soon(image2id, d, partial(STORAGE_IMPL.put, tenant_id=self._canvas._tenant_id), get_uuid())
             self.set_output("chunks", cks)
 
         self.callback(1, "Done.")

rag/flow/parser/parser.py

@@ -512,4 +512,4 @@ class Parser(ProcessBase):
         outs = self.output()
         async with trio.open_nursery() as nursery:
             for d in outs.get("json", []):
-                nursery.start_soon(image2id, d, partial(STORAGE_IMPL.put), get_uuid())
+                nursery.start_soon(image2id, d, partial(STORAGE_IMPL.put, tenant_id=self._canvas._tenant_id), get_uuid())

rag/flow/splitter/splitter.py

@@ -87,7 +87,7 @@ class Splitter(ProcessBase):
         sections, section_images = [], []
         for o in from_upstream.json_result or []:
             sections.append((o.get("text", ""), o.get("position_tag", "")))
-            section_images.append(id2image(o.get("img_id"), partial(STORAGE_IMPL.get)))
+            section_images.append(id2image(o.get("img_id"), partial(STORAGE_IMPL.get, tenant_id=self._canvas._tenant_id)))
 
         chunks, images = naive_merge_with_images(
             sections,
@@ -106,6 +106,6 @@ class Splitter(ProcessBase):
         ]
         async with trio.open_nursery() as nursery:
             for d in cks:
-                nursery.start_soon(image2id, d, partial(STORAGE_IMPL.put), get_uuid())
+                nursery.start_soon(image2id, d, partial(STORAGE_IMPL.put, tenant_id=self._canvas._tenant_id), get_uuid())
         self.set_output("chunks",  cks)
         self.callback(1, "Done.")

rag/prompts/generator.py

@@ -680,8 +680,7 @@ async def gen_toc_from_text(txt_info: dict, chat_mdl, callback=None):
             chat_mdl,
             gen_conf={"temperature": 0.0, "top_p": 0.9}
         )
-        print(ans, "::::::::::::::::::::::::::::::::::::", flush=True)
+        txt_info["toc"] = ans if ans and not isinstance(ans, str) else []
-        txt_info["toc"] = ans if ans else []
         if callback:
             callback(msg="")
     except Exception as e:
@@ -729,8 +728,6 @@ async def run_toc_from_text(chunks, chat_mdl, callback=None):
     for chunk in chunks_res:
         titles.extend(chunk.get("toc", []))
         
-    print(titles, ">>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>")
-        
     # Filter out entries with title == -1
     prune = len(titles) > 512
     max_len = 12 if prune else 22
@@ -745,12 +742,16 @@ async def run_toc_from_text(chunks, chat_mdl, callback=None):
         filtered.append(x)
 
     logging.info(f"\n\nFiltered TOC sections:\n{filtered}")
+    if not filtered:
+        return []
 
     # Generate initial level (level/title)
     raw_structure = [x.get("title", "") for x in filtered]
 
     # Assign hierarchy levels using LLM
     toc_with_levels = assign_toc_levels(raw_structure, chat_mdl, {"temperature": 0.0, "top_p": 0.9})
+    if not toc_with_levels:
+        return []
 
     # Merge structure and content (by index)
     prune = len(toc_with_levels) > 512
@@ -779,7 +780,6 @@ def relevant_chunks_with_toc(query: str, toc:list[dict], chat_mdl, topn: int=6):
             chat_mdl,
             gen_conf={"temperature": 0.0, "top_p": 0.9}
         )
-        print(ans, "::::::::::::::::::::::::::::::::::::", flush=True)
         id2score = {}
         for ti, sc in zip(toc, ans):
             if not isinstance(sc, dict) or sc.get("score", -1) < 1:

rag/svr/task_executor.py

@@ -12,7 +12,7 @@
 #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
-
+import concurrent
 # from beartype import BeartypeConf
 # from beartype.claw import beartype_all  # <-- you didn't sign up for this
 # beartype_all(conf=BeartypeConf(violation_type=UserWarning))    # <-- emit warnings from all code
@@ -317,7 +317,7 @@ async def build_chunks(task, progress_callback):
                 d["img_id"] = ""
                 docs.append(d)
                 return
-            await image2id(d, partial(STORAGE_IMPL.put), d["id"], task["kb_id"])
+            await image2id(d, partial(STORAGE_IMPL.put, tenant_id=task["tenant_id"]), d["id"], task["kb_id"])
             docs.append(d)
         except Exception:
             logging.exception(
@@ -370,38 +370,6 @@ async def build_chunks(task, progress_callback):
                 nursery.start_soon(doc_question_proposal, chat_mdl, d, task["parser_config"]["auto_questions"])
         progress_callback(msg="Question generation {} chunks completed in {:.2f}s".format(len(docs), timer() - st))
 
-    if task["parser_id"].lower() == "naive" and task["parser_config"].get("toc_extraction", False):
-        progress_callback(msg="Start to generate table of content ...")
-        chat_mdl = LLMBundle(task["tenant_id"], LLMType.CHAT, llm_name=task["llm_id"], lang=task["language"])
-        docs = sorted(docs, key=lambda d:(
-            d.get("page_num_int", 0)[0] if isinstance(d.get("page_num_int", 0), list) else d.get("page_num_int", 0),
-            d.get("top_int", 0)[0] if isinstance(d.get("top_int", 0), list) else d.get("top_int", 0)
-        ))
-        toc: list[dict] = await run_toc_from_text([d["content_with_weight"] for d in docs], chat_mdl, progress_callback)
-        logging.info("------------ T O C -------------\n"+json.dumps(toc, ensure_ascii=False, indent='  '))
-        ii = 0
-        while ii < len(toc):
-            try:
-                idx = int(toc[ii]["chunk_id"])
-                del toc[ii]["chunk_id"]
-                toc[ii]["ids"] = [docs[idx]["id"]]
-                if ii == len(toc) -1:
-                    break
-                for jj in range(idx+1, int(toc[ii+1]["chunk_id"])+1):
-                    toc[ii]["ids"].append(docs[jj]["id"])
-            except Exception as e:
-                logging.exception(e)
-            ii += 1
-
-        if toc:
-            d = copy.deepcopy(docs[-1])
-            d["content_with_weight"] = json.dumps(toc, ensure_ascii=False)
-            d["toc_kwd"] = "toc"
-            d["available_int"] = 0
-            d["page_num_int"] = 100000000
-            d["id"] = xxhash.xxh64((d["content_with_weight"] + str(d["doc_id"])).encode("utf-8", "surrogatepass")).hexdigest()
-            docs.append(d)
-
     if task["kb_parser_config"].get("tag_kb_ids", []):
         progress_callback(msg="Start to tag for every chunk ...")
         kb_ids = task["kb_parser_config"]["tag_kb_ids"]
@@ -451,6 +419,39 @@ async def build_chunks(task, progress_callback):
     return docs
 
 
+def build_TOC(task, docs, progress_callback):
+    progress_callback(msg="Start to generate table of content ...")
+    chat_mdl = LLMBundle(task["tenant_id"], LLMType.CHAT, llm_name=task["llm_id"], lang=task["language"])
+    docs = sorted(docs, key=lambda d:(
+        d.get("page_num_int", 0)[0] if isinstance(d.get("page_num_int", 0), list) else d.get("page_num_int", 0),
+        d.get("top_int", 0)[0] if isinstance(d.get("top_int", 0), list) else d.get("top_int", 0)
+    ))
+    toc: list[dict] = trio.run(run_toc_from_text, [d["content_with_weight"] for d in docs], chat_mdl, progress_callback)
+    logging.info("------------ T O C -------------\n"+json.dumps(toc, ensure_ascii=False, indent='  '))
+    ii = 0
+    while ii < len(toc):
+        try:
+            idx = int(toc[ii]["chunk_id"])
+            del toc[ii]["chunk_id"]
+            toc[ii]["ids"] = [docs[idx]["id"]]
+            if ii == len(toc) -1:
+                break
+            for jj in range(idx+1, int(toc[ii+1]["chunk_id"])+1):
+                toc[ii]["ids"].append(docs[jj]["id"])
+        except Exception as e:
+            logging.exception(e)
+        ii += 1
+
+    if toc:
+        d = copy.deepcopy(docs[-1])
+        d["content_with_weight"] = json.dumps(toc, ensure_ascii=False)
+        d["toc_kwd"] = "toc"
+        d["available_int"] = 0
+        d["page_num_int"] = 100000000
+        d["id"] = xxhash.xxh64((d["content_with_weight"] + str(d["doc_id"])).encode("utf-8", "surrogatepass")).hexdigest()
+        return d
+
+
 def init_kb(row, vector_size: int):
     idxnm = search.index_name(row["tenant_id"])
     return settings.docStoreConn.createIdx(idxnm, row.get("kb_id", ""), vector_size)
@@ -753,7 +754,7 @@ async def insert_es(task_id, task_tenant_id, task_dataset_id, chunks, progress_c
     return True
 
 
-@timeout(60*60*2, 1)
+@timeout(60*60*3, 1)
 async def do_handle_task(task):
     task_type = task.get("task_type", "")
 
@@ -773,6 +774,8 @@ async def do_handle_task(task):
     task_document_name = task["name"]
     task_parser_config = task["parser_config"]
     task_start_ts = timer()
+    toc_thread = None
+    executor = concurrent.futures.ThreadPoolExecutor()
 
     # prepare the progress callback function
     progress_callback = partial(set_progress, task_id, task_from_page, task_to_page)
@@ -905,8 +908,6 @@ async def do_handle_task(task):
         if not chunks:
             progress_callback(1., msg=f"No chunk built from {task_document_name}")
             return
-        # TODO: exception handler
-        ## set_progress(task["did"], -1, "ERROR: ")
         progress_callback(msg="Generate {} chunks".format(len(chunks)))
         start_ts = timer()
         try:
@@ -920,6 +921,8 @@ async def do_handle_task(task):
         progress_message = "Embedding chunks ({:.2f}s)".format(timer() - start_ts)
         logging.info(progress_message)
         progress_callback(msg=progress_message)
+        if task["parser_id"].lower() == "naive" and task["parser_config"].get("toc_extraction", False):
+            toc_thread = executor.submit(build_TOC,task, chunks, progress_callback)
 
     chunk_count = len(set([chunk["id"] for chunk in chunks]))
     start_ts = timer()
@@ -934,8 +937,17 @@ async def do_handle_task(task):
     DocumentService.increment_chunk_num(task_doc_id, task_dataset_id, token_count, chunk_count, 0)
 
     time_cost = timer() - start_ts
+    progress_callback(msg="Indexing done ({:.2f}s).".format(time_cost))
+    if toc_thread:
+        d = toc_thread.result()
+        if d:
+            e = await insert_es(task_id, task_tenant_id, task_dataset_id, [d], progress_callback)
+            if not e:
+                return
+            DocumentService.increment_chunk_num(task_doc_id, task_dataset_id, 0, 1, 0)
+
     task_time_cost = timer() - task_start_ts
-    progress_callback(prog=1.0, msg="Indexing done ({:.2f}s). Task done ({:.2f}s)".format(time_cost, task_time_cost))
+    progress_callback(prog=1.0, msg="Task done ({:.2f}s)".format(task_time_cost))
     logging.info(
         "Chunk doc({}), page({}-{}), chunks({}), token({}), elapsed:{:.2f}".format(task_document_name, task_from_page,
                                                                                    task_to_page, len(chunks),

rag/utils/minio_conn.py

@@ -60,7 +60,7 @@ class RAGFlowMinio:
                                  )
         return r
 
-    def put(self, bucket, fnm, binary):
+    def put(self, bucket, fnm, binary, tenant_id=None):
         for _ in range(3):
             try:
                 if not self.conn.bucket_exists(bucket):
@@ -76,13 +76,13 @@ class RAGFlowMinio:
                 self.__open__()
                 time.sleep(1)
 
-    def rm(self, bucket, fnm):
+    def rm(self, bucket, fnm, tenant_id=None):
         try:
             self.conn.remove_object(bucket, fnm)
         except Exception:
             logging.exception(f"Fail to remove {bucket}/{fnm}:")
 
-    def get(self, bucket, filename):
+    def get(self, bucket, filename, tenant_id=None):
         for _ in range(1):
             try:
                 r = self.conn.get_object(bucket, filename)
@@ -93,7 +93,7 @@ class RAGFlowMinio:
                 time.sleep(1)
         return
 
-    def obj_exist(self, bucket, filename):
+    def obj_exist(self, bucket, filename, tenant_id=None):
         try:
             if not self.conn.bucket_exists(bucket):
                 return False
@@ -121,7 +121,7 @@ class RAGFlowMinio:
             logging.exception(f"bucket_exist {bucket} got exception")
             return False
 
-    def get_presigned_url(self, bucket, fnm, expires):
+    def get_presigned_url(self, bucket, fnm, expires, tenant_id=None):
         for _ in range(10):
             try:
                 return self.conn.get_presigned_url("GET", bucket, fnm, expires)

web/src/app.tsx

@@ -104,7 +104,7 @@ const RootProvider = ({ children }: React.PropsWithChildren) => {
     <TooltipProvider>
       <QueryClientProvider client={queryClient}>
         <ThemeProvider
-          defaultTheme={ThemeEnum.Light}
+          defaultTheme={ThemeEnum.Dark}
           storageKey="ragflow-ui-theme"
         >
           <Root>{children}</Root>

web/src/components/data-pipeline-select/index.tsx

@@ -108,6 +108,7 @@ export function DataFlowSelect(props: IProps) {
                         {...field}
                         placeholder={t('dataFlowPlaceholder')}
                         options={options}
+                        triggerClassName="!bg-bg-base"
                       />
                     )}
                     {isMult && (

web/src/components/delimiter-form-field.tsx

@@ -1,3 +1,4 @@
+import { cn } from '@/lib/utils';
 import { forwardRef } from 'react';
 import { useFormContext } from 'react-hook-form';
 import { useTranslation } from 'react-i18next';
@@ -36,6 +37,7 @@ export const DelimiterInput = forwardRef<HTMLInputElement, InputProps & IProps>(
         maxLength={maxLength}
         defaultValue={defaultValue}
         ref={ref}
+        className={cn('bg-bg-base', props.className)}
         {...props}
       ></Input>
     );

web/src/components/next-markdown-content/index.tsx

@@ -54,7 +54,10 @@ function MarkdownContent({
   const { setDocumentIds, data: fileThumbnails } =
     useFetchDocumentThumbnailsByIds();
   const contentWithCursor = useMemo(() => {
-    let text = DOMPurify.sanitize(content);
+    let text = DOMPurify.sanitize(content, {
+      ADD_TAGS: ['think', 'section'],
+      ADD_ATTR: ['class'],
+    });
     // let text = content;
     if (text === '') {
       text = t('chat.searching');

web/src/components/theme-provider.tsx

@@ -21,7 +21,7 @@ const ThemeProviderContext = createContext<ThemeProviderState>(initialState);
 
 export function ThemeProvider({
   children,
-  defaultTheme = ThemeEnum.Light,
+  defaultTheme = ThemeEnum.Dark,
   storageKey = 'vite-ui-theme',
   ...props
 }: ThemeProviderProps) {

web/src/components/ui/input.tsx

@@ -31,7 +31,7 @@ const Input = React.forwardRef<HTMLInputElement, InputProps>(
       <input
         type={type}
         className={cn(
-          'flex h-8 w-full rounded-md border border-input bg-bg-card px-2 py-2 text-sm ring-offset-background file:border-0 file:bg-transparent file:text-sm file:font-medium file:text-foreground placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50',
+          'flex h-8 w-full rounded-md border border-input bg-bg-base px-2 py-2 text-sm ring-offset-background file:border-0 file:bg-transparent file:text-sm file:font-medium file:text-foreground placeholder:text-text-disabled focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50',
           className,
         )}
         ref={ref}
@@ -65,7 +65,11 @@ const ExpandedInput = ({
         {prefix}
       </span>
       <Input
-        className={cn({ 'pr-8': !!suffix, 'pl-8': !!prefix }, className)}
+        className={cn(
+          { 'pr-8': !!suffix, 'pl-8': !!prefix },
+          'bg-bg-base',
+          className,
+        )}
         {...props}
       ></Input>
       <span

web/src/components/ui/select.tsx

@@ -291,7 +291,7 @@ export const RAGFlowSelect = forwardRef<
           onReset={handleReset}
           allowClear={allowClear}
           ref={ref}
-          className={triggerClassName}
+          className={cn(triggerClassName, 'bg-bg-base')}
         >
           <SelectValue placeholder={placeholder}>{label}</SelectValue>
         </SelectTrigger>

web/src/components/ui/table.tsx

@@ -8,7 +8,7 @@ const Table = React.forwardRef<
 >(({ className, rootClassName, ...props }, ref) => (
   <div
     className={cn(
-      'relative w-full overflow-auto rounded-2xl bg-bg-card scrollbar-none',
+      'relative w-full overflow-auto rounded-2xl bg-bg-card scrollbar-auto',
       rootClassName,
     )}
   >

web/src/components/ui/tooltip.tsx

@@ -20,7 +20,7 @@ const TooltipContent = React.forwardRef<
     ref={ref}
     sideOffset={sideOffset}
     className={cn(
-      'z-50 overflow-auto scrollbar-auto rounded-md border bg-popover px-3 py-1.5 text-sm text-popover-foreground shadow-md animate-in fade-in-0 zoom-in-95 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 max-w-[20vw]',
+      'z-50 overflow-auto scrollbar-auto rounded-md whitespace-pre-wrap border bg-popover px-3 py-1.5 text-sm text-popover-foreground shadow-md animate-in fade-in-0 zoom-in-95 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 max-w-[30vw]',
       className,
     )}
     {...props}
@@ -41,9 +41,7 @@ export const FormTooltip = ({ tooltip }: { tooltip: React.ReactNode }) => {
       >
         <Info className="size-3 ml-2" />
       </TooltipTrigger>
-      <TooltipContent>
+      <TooltipContent>{tooltip}</TooltipContent>
-        <p>{tooltip}</p>
-      </TooltipContent>
     </Tooltip>
   );
 };

web/src/hooks/logic-hooks/navigate-hooks.ts

@@ -24,6 +24,12 @@ export const useNavigatePage = () => {
     },
     [navigate],
   );
+  const navigateToDatasetOverview = useCallback(
+    (id: string) => () => {
+      navigate(`${Routes.DatasetBase}${Routes.DataSetOverview}/${id}`);
+    },
+    [navigate],
+  );
 
   const navigateToDataFile = useCallback(
     (id: string) => () => {
@@ -160,6 +166,7 @@ export const useNavigatePage = () => {
   return {
     navigateToDatasetList,
     navigateToDataset,
+    navigateToDatasetOverview,
     navigateToHome,
     navigateToProfile,
     navigateToChatList,

web/src/locales/en.ts

@@ -300,8 +300,8 @@ export default {
       dataFlowPlaceholder: 'Please select a pipeline.',
       buildItFromScratch: 'Build it from scratch',
       dataFlow: 'Pipeline',
-      parseType: 'Parse Type',
+      parseType: 'Ingestion pipeline',
-      manualSetup: 'Manual Setup',
+      manualSetup: 'Choose pipeline',
       builtIn: 'Built-in',
       titleDescription:
         'Update your knowledge base configuration here, particularly the chunking method.',
@@ -477,7 +477,8 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
       useGraphRagTip:
         'Construct a knowledge graph over file chunks of the current knowledge base to enhance multi-hop question-answering involving nested logic. See https://ragflow.io/docs/dev/construct_knowledge_graph for details.',
       graphRagMethod: 'Method',
-      graphRagMethodTip: `Light: (Default) Use prompts provided by github.com/HKUDS/LightRAG to extract entities and relationships. This option consumes fewer tokens, less memory, and fewer computational resources.</br>
+      graphRagMethodTip: `
+      Light: (Default) Use prompts provided by github.com/HKUDS/LightRAG to extract entities and relationships. This option consumes fewer tokens, less memory, and fewer computational resources.</br>
       General: Use prompts provided by github.com/microsoft/graphrag to extract entities and relationships`,
       resolution: 'Entity resolution',
       resolutionTip: `An entity deduplication switch. When enabled, the LLM will combine similar entities - e.g., '2025' and 'the year of 2025', or 'IT' and 'Information Technology' - to construct a more accurate graph`,
@@ -1672,6 +1673,7 @@ This delimiter is used to split the input text into several text pieces echo of
       page: '{{page}} /Page',
     },
     dataflowParser: {
+      result: 'Result',
       parseSummary: 'Parse Summary',
       parseSummaryTip: 'Parser：deepdoc',
       rerunFromCurrentStep: 'Rerun From Current Step',
@@ -1736,10 +1738,10 @@ This delimiter is used to split the input text into several text pieces echo of
       addParser: 'Add Parser',
       hierarchy: 'Hierarchy',
       regularExpressions: 'Regular Expressions',
-      overlappedPercent: 'Overlapped percent',
+      overlappedPercent: 'Overlapped percent (%)',
       searchMethod: 'Search method',
       searchMethodTip: `Defines how the content can be searched — by full-text, embedding, or both.
-The Tokenizer will store the content in the corresponding data structures for the selected methods.`,
+The Indexer will store the content in the corresponding data structures for the selected methods.`,
       begin: 'File',
       parserMethod: 'Parsing method',
       systemPrompt: 'System Prompt',
@@ -1748,11 +1750,11 @@ The Tokenizer will store the content in the corresponding data structures for th
       exportJson: 'Export JSON',
       viewResult: 'View result',
       running: 'Running',
-      summary: 'Augmented Context',
+      summary: 'Summary',
       keywords: 'Keywords',
       questions: 'Questions',
       metadata: 'Metadata',
-      fieldName: 'Result Destination',
+      fieldName: 'Result destination',
       prompts: {
         system: {
           keywords: `Role
@@ -1817,6 +1819,9 @@ Important structured information may include: names, dates, locations, events, k
       imageParseMethodOptions: {
         ocr: 'OCR',
       },
+      note: 'Note',
+      noteDescription: 'Note',
+      notePlaceholder: 'Please enter a note',
     },
     datasetOverview: {
       downloadTip: 'Files being downloaded from data sources. ',

web/src/locales/zh.ts

@@ -268,25 +268,25 @@ export default {
           <br/>
           是否要继续？
       `,
-      extractRaptor: '从文档中提取Raptor',
+      extractRaptor: '从文档中提取RAPTOR',
       extractKnowledgeGraph: '从文档中提取知识图谱',
       filterPlaceholder: '请输入',
       fileFilterTip: '',
       fileFilter: '正则匹配表达式',
       setDefaultTip: '',
       setDefault: '设置默认',
-      eidtLinkDataPipeline: '编辑数据流',
+      eidtLinkDataPipeline: '编辑pipeline',
       linkPipelineSetTip: '管理与此数据集的数据管道链接',
       default: '默认',
-      dataPipeline: '数据流',
+      dataPipeline: 'pipeline',
-      linkDataPipeline: '关联数据流',
+      linkDataPipeline: '关联pipeline',
       enableAutoGenerate: '是否启用自动生成',
       teamPlaceholder: '请选择团队',
-      dataFlowPlaceholder: '请选择数据流',
+      dataFlowPlaceholder: '请选择pipeline',
       buildItFromScratch: '去Scratch构建',
-      dataFlow: '数据流',
+      dataFlow: 'pipeline',
-      parseType: '切片方法',
+      parseType: 'Ingestion pipeline',
-      manualSetup: '手动设置',
+      manualSetup: '选择pipeline',
       builtIn: '内置',
       titleDescription: '在这里更新您的知识库详细信息，尤其是切片方法。',
       name: '知识库名称',
@@ -1588,6 +1588,7 @@ General：实体和关系提取提示来自 GitHub - microsoft/graphrag：基于
       page: '{{page}}条/页',
     },
     dataflowParser: {
+      result: '结果',
       parseSummary: '解析摘要',
       parseSummaryTip: '解析器: deepdoc',
       rerunFromCurrentStep: '从当前步骤重新运行',
@@ -1610,7 +1611,7 @@ General：实体和关系提取提示来自 GitHub - microsoft/graphrag：基于
       <p>要保留这些更改，请点击“重新运行”以重新运行当前阶段。</p> `,
       changeStepModalConfirmText: '继续切换',
       changeStepModalCancelText: '取消',
-      unlinkPipelineModalTitle: '解绑数据流',
+      unlinkPipelineModalTitle: '解绑pipeline',
       unlinkPipelineModalContent: `
       <p>一旦取消链接，该数据集将不再连接到当前数据管道。</p> 
       <p>正在解析的文件将继续解析，直到完成。</p> 
@@ -1641,7 +1642,7 @@ General：实体和关系提取提示来自 GitHub - microsoft/graphrag：基于
       addParser: '增加解析器',
       hierarchy: '层次结构',
       regularExpressions: '正则表达式',
-      overlappedPercent: '重叠百分比',
+      overlappedPercent: '重叠百分比（%）',
       searchMethod: '搜索方法',
       searchMethodTip: `决定该数据集启用的搜索方式，可选择全文、向量，或两者兼有。
 Tokenizer 会根据所选方式将内容存储为对应的数据结构。`,
@@ -1709,6 +1710,9 @@ Tokenizer 会根据所选方式将内容存储为对应的数据结构。`,
       cancel: '取消',
       filenameEmbeddingWeight: '文件名嵌入权重',
       switchPromptMessage: '提示词将发生变化，请确认是否放弃已有提示词？',
+      note: '注释',
+      noteDescription: '注释',
+      notePlaceholder: '请输入注释',
     },
     datasetOverview: {
       downloadTip: '正在从数据源下载文件。',

web/src/pages/agent/canvas/node/node-header.tsx

@@ -18,7 +18,7 @@ const InnerNodeHeader = ({
   wrapperClassName,
 }: IProps) => {
   return (
-    <section className={cn(wrapperClassName, 'pb-4')}>
+    <section className={cn(wrapperClassName, 'pb-2')}>
       <div className={cn(className, 'flex gap-2.5')}>
         <OperatorIcon name={label as Operator}></OperatorIcon>
         <span className="truncate text-center font-semibold text-sm">

web/src/pages/agent/canvas/node/node-wrapper.tsx

@@ -7,7 +7,7 @@ export function NodeWrapper({ children, className, selected }: IProps) {
   return (
     <section
       className={cn(
-        'bg-text-title-invert p-2.5 rounded-sm w-[200px] text-xs group',
+        'bg-text-title-invert p-2.5 rounded-md w-[200px] text-xs group',
         { 'border border-accent-primary': selected },
         className,
       )}

web/src/pages/agent/canvas/node/note-node/index.tsx

@@ -28,7 +28,18 @@ const NameFormSchema = z.object({
   name: z.string(),
 });
 
-function NoteNode({ data, id, selected }: NodeProps<INoteNode>) {
+type NoteNodeProps = NodeProps<INoteNode> & {
+  useWatchNoteFormChange?: typeof useWatchFormChange;
+  useWatchNoteNameFormChange?: typeof useWatchNameFormChange;
+};
+
+function NoteNode({
+  data,
+  id,
+  selected,
+  useWatchNoteFormChange,
+  useWatchNoteNameFormChange,
+}: NoteNodeProps) {
   const { t } = useTranslation();
 
   const form = useForm<z.infer<typeof FormSchema>>({
@@ -41,19 +52,19 @@ function NoteNode({ data, id, selected }: NodeProps<INoteNode>) {
     defaultValues: { name: data.name },
   });
 
-  useWatchFormChange(id, form);
+  (useWatchNoteFormChange || useWatchFormChange)(id, form);
 
-  useWatchNameFormChange(id, nameForm);
+  (useWatchNoteNameFormChange || useWatchNameFormChange)(id, nameForm);
 
   return (
     <NodeWrapper
-      className="p-0  w-full h-full flex flex-col bg-bg-component"
+      className="p-0  w-full h-full flex flex-col bg-bg-component border border-state-warning rounded-lg shadow-md pb-1"
       selected={selected}
     >
       <NodeResizeControl minWidth={190} minHeight={128} style={controlStyle}>
         <ResizeIcon />
       </NodeResizeControl>
-      <section className="p-2 flex gap-2 items-center note-drag-handle rounded-t">
+      <section className="px-2 py-1 flex gap-2 items-center note-drag-handle rounded-t border-t-2 border-state-warning">
         <NotebookPen className="size-4" />
         <Form {...nameForm}>
           <form className="flex-1">
@@ -67,7 +78,7 @@ function NoteNode({ data, id, selected }: NodeProps<INoteNode>) {
                       placeholder={t('flow.notePlaceholder')}
                       {...field}
                       type="text"
-                      className="bg-transparent border-none focus-visible:outline focus-visible:outline-text-sub-title"
+                      className="bg-transparent border-none focus-visible:outline focus-visible:outline-text-sub-title p-1"
                     />
                   </FormControl>
                   <FormMessage />
@@ -78,7 +89,7 @@ function NoteNode({ data, id, selected }: NodeProps<INoteNode>) {
         </Form>
       </section>
       <Form {...form}>
-        <form className="flex-1 p-1">
+        <form className="flex-1 px-1 min-h-1">
           <FormField
             control={form.control}
             name="text"
@@ -87,7 +98,7 @@ function NoteNode({ data, id, selected }: NodeProps<INoteNode>) {
                 <FormControl>
                   <Textarea
                     placeholder={t('flow.notePlaceholder')}
-                    className="resize-none rounded-none p-1 h-full overflow-auto bg-transparent focus-visible:ring-0 border-none"
+                    className="resize-none rounded-none p-1 py-0 overflow-auto bg-transparent focus-visible:ring-0 border-none text-text-secondary focus-visible:ring-offset-0 !text-xs"
                     {...field}
                   />
                 </FormControl>

web/src/pages/agent/canvas/node/resize-icon.tsx

@@ -6,7 +6,7 @@ export function ResizeIcon() {
       height="14"
       viewBox="0 0 24 24"
       strokeWidth="2"
-      stroke="rgba(76, 164, 231, 1)"
+      stroke="var(--text-disabled)"
       fill="none"
       strokeLinecap="round"
       strokeLinejoin="round"

web/src/pages/chat/markdown-content/index.tsx

@@ -48,7 +48,11 @@ const MarkdownContent = ({
   const { setDocumentIds, data: fileThumbnails } =
     useFetchDocumentThumbnailsByIds();
   const contentWithCursor = useMemo(() => {
-    let text = DOMPurify.sanitize(content);
+    let text = DOMPurify.sanitize(content, {
+      ADD_TAGS: ['think', 'section'],
+      ADD_ATTR: ['class'],
+    });
+
     // let text = content;
     if (text === '') {
       text = t('chat.searching');

web/src/pages/data-flow/canvas/index.tsx

@@ -45,7 +45,6 @@ import { RagNode } from './node';
 import { BeginNode } from './node/begin-node';
 import { NextStepDropdown } from './node/dropdown/next-step-dropdown';
 import { ExtractorNode } from './node/extractor-node';
-import { HierarchicalMergerNode } from './node/hierarchical-merger-node';
 import NoteNode from './node/note-node';
 import ParserNode from './node/parser-node';
 import { SplitterNode } from './node/splitter-node';
@@ -58,7 +57,6 @@ export const nodeTypes: NodeTypes = {
   parserNode: ParserNode,
   tokenizerNode: TokenizerNode,
   splitterNode: SplitterNode,
-  hierarchicalMergerNode: HierarchicalMergerNode,
   contextNode: ExtractorNode,
 };
 

web/src/pages/data-flow/canvas/node/card.tsx

@@ -1,57 +1,12 @@
-import { Button } from '@/components/ui/button';
+import { cn } from '@/lib/utils';
-import {
+import { PropsWithChildren } from 'react';
-  Card,
-  CardContent,
-  CardDescription,
-  CardFooter,
-  CardHeader,
-  CardTitle,
-} from '@/components/ui/card';
-import { Input } from '@/components/ui/input';
-import { Label } from '@/components/ui/label';
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from '@/components/ui/select';
 
-export function CardWithForm() {
+type LabelCardProps = {
+  className?: string;
+} & PropsWithChildren;
+
+export function LabelCard({ children, className }: LabelCardProps) {
   return (
-    <Card className="w-[350px]">
+    <div className={cn('bg-bg-card rounded-sm p-1', className)}>{children}</div>
-      <CardHeader>
-        <CardTitle>Create project</CardTitle>
-        <CardDescription>Deploy your new project in one-click.</CardDescription>
-      </CardHeader>
-      <CardContent>
-        <form>
-          <div className="grid w-full items-center gap-4">
-            <div className="flex flex-col space-y-1.5">
-              <Label htmlFor="name">Name</Label>
-              <Input id="name" placeholder="Name of your project" />
-            </div>
-            <div className="flex flex-col space-y-1.5">
-              <Label htmlFor="framework">Framework</Label>
-              <Select>
-                <SelectTrigger id="framework">
-                  <SelectValue placeholder="Select" />
-                </SelectTrigger>
-                <SelectContent position="popper">
-                  <SelectItem value="next">Next.js</SelectItem>
-                  <SelectItem value="sveltekit">SvelteKit</SelectItem>
-                  <SelectItem value="astro">Astro</SelectItem>
-                  <SelectItem value="nuxt">Nuxt.js</SelectItem>
-                </SelectContent>
-              </Select>
-            </div>
-          </div>
-        </form>
-      </CardContent>
-      <CardFooter className="flex justify-between">
-        <Button variant="outline">Cancel</Button>
-        <Button>Deploy</Button>
-      </CardFooter>
-    </Card>
   );
 }

web/src/pages/data-flow/canvas/node/extractor-node.tsx

@@ -1 +1,18 @@
-export { RagNode as ExtractorNode } from './index';
+import LLMLabel from '@/components/llm-select/llm-label';
+import { IRagNode } from '@/interfaces/database/agent';
+import { NodeProps } from '@xyflow/react';
+import { get } from 'lodash';
+import { LabelCard } from './card';
+import { RagNode } from './index';
+
+export function ExtractorNode({ ...props }: NodeProps<IRagNode>) {
+  const { data } = props;
+
+  return (
+    <RagNode {...props}>
+      <LabelCard>
+        <LLMLabel value={get(data, 'form.llm_id')}></LLMLabel>
+      </LabelCard>
+    </RagNode>
+  );
+}

web/src/pages/data-flow/canvas/node/hierarchical-merger-node.tsx

@@ -1 +0,0 @@
-export { RagNode as HierarchicalMergerNode } from './index';

web/src/pages/data-flow/canvas/node/index.tsx

@@ -1,6 +1,6 @@
 import { IRagNode } from '@/interfaces/database/flow';
 import { NodeProps, Position } from '@xyflow/react';
-import { memo, useMemo } from 'react';
+import { PropsWithChildren, memo, useMemo } from 'react';
 import { NodeHandleId, SingleOperators } from '../../constant';
 import useGraphStore from '../../store';
 import { CommonHandle } from './handle';
@@ -9,12 +9,14 @@ import NodeHeader from './node-header';
 import { NodeWrapper } from './node-wrapper';
 import { ToolBar } from './toolbar';
 
+type RagNodeProps = NodeProps<IRagNode> & PropsWithChildren;
 function InnerRagNode({
   id,
   data,
   isConnectable = true,
   selected,
-}: NodeProps<IRagNode>) {
+  children,
+}: RagNodeProps) {
   const getOperatorTypeFromId = useGraphStore(
     (state) => state.getOperatorTypeFromId,
   );
@@ -45,6 +47,7 @@ function InnerRagNode({
           isConnectableEnd={false}
         ></CommonHandle>
         <NodeHeader id={id} name={data.name} label={data.label}></NodeHeader>
+        {children}
       </NodeWrapper>
     </ToolBar>
   );

web/src/pages/data-flow/canvas/node/node-header.tsx

@@ -9,6 +9,7 @@ interface IProps {
   gap?: number;
   className?: string;
   wrapperClassName?: string;
+  icon?: React.ReactNode;
 }
 
 const InnerNodeHeader = ({
@@ -16,11 +17,12 @@ const InnerNodeHeader = ({
   name,
   className,
   wrapperClassName,
+  icon,
 }: IProps) => {
   return (
     <section className={cn(wrapperClassName, 'pb-4')}>
       <div className={cn(className, 'flex gap-2.5')}>
-        <OperatorIcon name={label as Operator}></OperatorIcon>
+        {icon || <OperatorIcon name={label as Operator}></OperatorIcon>}
         <span className="truncate text-center font-semibold text-sm">
           {name}
         </span>

web/src/pages/data-flow/canvas/node/note-node/index.tsx

@@ -1,103 +1,16 @@
-import { NodeProps, NodeResizeControl } from '@xyflow/react';
-
-import {
-  Form,
-  FormControl,
-  FormField,
-  FormItem,
-  FormMessage,
-} from '@/components/ui/form';
-import { Input } from '@/components/ui/input';
-import { Textarea } from '@/components/ui/textarea';
 import { INoteNode } from '@/interfaces/database/flow';
-import { zodResolver } from '@hookform/resolvers/zod';
+import BaseNoteNode from '@/pages/agent/canvas/node/note-node';
-import { NotebookPen } from 'lucide-react';
+import { NodeProps } from '@xyflow/react';
 import { memo } from 'react';
-import { useForm } from 'react-hook-form';
-import { useTranslation } from 'react-i18next';
-import { z } from 'zod';
-import { NodeWrapper } from '../node-wrapper';
-import { ResizeIcon, controlStyle } from '../resize-icon';
 import { useWatchFormChange, useWatchNameFormChange } from './use-watch-change';
 
-const FormSchema = z.object({
+function NoteNode({ ...props }: NodeProps<INoteNode>) {
-  text: z.string(),
-});
-
-const NameFormSchema = z.object({
-  name: z.string(),
-});
-
-function NoteNode({ data, id, selected }: NodeProps<INoteNode>) {
-  const { t } = useTranslation();
-
-  const form = useForm<z.infer<typeof FormSchema>>({
-    resolver: zodResolver(FormSchema),
-    defaultValues: data.form,
-  });
-
-  const nameForm = useForm<z.infer<typeof NameFormSchema>>({
-    resolver: zodResolver(NameFormSchema),
-    defaultValues: { name: data.name },
-  });
-
-  useWatchFormChange(id, form);
-
-  useWatchNameFormChange(id, nameForm);
-
   return (
-    <NodeWrapper
+    <BaseNoteNode
-      className="p-0  w-full h-full flex flex-col"
+      {...props}
-      selected={selected}
+      useWatchNoteFormChange={useWatchFormChange}
-    >
+      useWatchNoteNameFormChange={useWatchNameFormChange}
-      <NodeResizeControl minWidth={190} minHeight={128} style={controlStyle}>
+    ></BaseNoteNode>
-        <ResizeIcon />
-      </NodeResizeControl>
-      <section className="p-2 flex gap-2 bg-background-note items-center note-drag-handle rounded-t">
-        <NotebookPen className="size-4" />
-        <Form {...nameForm}>
-          <form className="flex-1">
-            <FormField
-              control={nameForm.control}
-              name="name"
-              render={({ field }) => (
-                <FormItem className="h-full">
-                  <FormControl>
-                    <Input
-                      placeholder={t('flow.notePlaceholder')}
-                      {...field}
-                      type="text"
-                      className="bg-transparent border-none focus-visible:outline focus-visible:outline-text-sub-title"
-                    />
-                  </FormControl>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
-          </form>
-        </Form>
-      </section>
-      <Form {...form}>
-        <form className="flex-1 p-1">
-          <FormField
-            control={form.control}
-            name="text"
-            render={({ field }) => (
-              <FormItem className="h-full">
-                <FormControl>
-                  <Textarea
-                    placeholder={t('flow.notePlaceholder')}
-                    className="resize-none rounded-none p-1 h-full overflow-auto bg-transparent focus-visible:ring-0 border-none"
-                    {...field}
-                  />
-                </FormControl>
-                <FormMessage />
-              </FormItem>
-            )}
-          />
-        </form>
-      </Form>
-    </NodeWrapper>
   );
 }
 

web/src/pages/data-flow/canvas/node/note-node/use-watch-change.ts

@@ -1,4 +1,4 @@
-import useGraphStore from '@/pages/agent/store';
+import useGraphStore from '@/pages/data-flow/store';
 import { useEffect } from 'react';
 import { UseFormReturn, useWatch } from 'react-hook-form';
 

web/src/pages/data-flow/canvas/node/parser-node.tsx

@@ -1,7 +1,10 @@
-import { IRagNode } from '@/interfaces/database/flow';
+import { BaseNode } from '@/interfaces/database/agent';
 import { NodeProps, Position } from '@xyflow/react';
 import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
 import { NodeHandleId } from '../../constant';
+import { ParserFormSchemaType } from '../../form/parser-form';
+import { LabelCard } from './card';
 import { CommonHandle } from './handle';
 import { LeftHandleStyle, RightHandleStyle } from './handle-icon';
 import NodeHeader from './node-header';
@@ -12,7 +15,8 @@ function ParserNode({
   data,
   isConnectable = true,
   selected,
-}: NodeProps<IRagNode>) {
+}: NodeProps<BaseNode<ParserFormSchemaType>>) {
+  const { t } = useTranslation();
   return (
     <NodeWrapper selected={selected}>
       <CommonHandle
@@ -33,6 +37,17 @@ function ParserNode({
         isConnectableEnd={false}
       ></CommonHandle>
       <NodeHeader id={id} name={data.name} label={data.label}></NodeHeader>
+      <section className="space-y-2">
+        {data.form?.setups.map((x, idx) => (
+          <LabelCard
+            key={idx}
+            className="flex justify- flex-col text-text-primary gap-1"
+          >
+            <span className="text-text-secondary">Parser {idx + 1}</span>
+            {t(`dataflow.fileFormatOptions.${x.fileFormat}`)}
+          </LabelCard>
+        ))}
+      </section>
     </NodeWrapper>
   );
 }

web/src/pages/data-flow/canvas/node/splitter-node.tsx

@@ -1 +1,52 @@
-export { RagNode as SplitterNode } from './index';
+import { IRagNode } from '@/interfaces/database/flow';
+import { NodeProps, Position } from '@xyflow/react';
+import { PropsWithChildren, memo } from 'react';
+import { NodeHandleId, Operator } from '../../constant';
+import OperatorIcon from '../../operator-icon';
+import { LabelCard } from './card';
+import { CommonHandle } from './handle';
+import { LeftHandleStyle, RightHandleStyle } from './handle-icon';
+import NodeHeader from './node-header';
+import { NodeWrapper } from './node-wrapper';
+import { ToolBar } from './toolbar';
+
+type RagNodeProps = NodeProps<IRagNode> & PropsWithChildren;
+function InnerSplitterNode({
+  id,
+  data,
+  isConnectable = true,
+  selected,
+}: RagNodeProps) {
+  return (
+    <ToolBar selected={selected} id={id} label={data.label} showCopy={false}>
+      <NodeWrapper selected={selected}>
+        <CommonHandle
+          id={NodeHandleId.End}
+          type="target"
+          position={Position.Left}
+          isConnectable={isConnectable}
+          style={LeftHandleStyle}
+          nodeId={id}
+        ></CommonHandle>
+        <CommonHandle
+          type="source"
+          position={Position.Right}
+          isConnectable={isConnectable}
+          id={NodeHandleId.Start}
+          style={RightHandleStyle}
+          nodeId={id}
+          isConnectableEnd={false}
+        ></CommonHandle>
+        <NodeHeader
+          id={id}
+          name={'Chunker'}
+          label={data.label}
+          icon={<OperatorIcon name={Operator.Splitter}></OperatorIcon>}
+        ></NodeHeader>
+        <LabelCard>{data.name}</LabelCard>
+      </NodeWrapper>
+    </ToolBar>
+  );
+}
+
+export const SplitterNode = memo(InnerSplitterNode);

web/src/pages/data-flow/canvas/node/tokenizer-node.tsx

@@ -1,7 +1,10 @@
-import { IRagNode } from '@/interfaces/database/flow';
+import { BaseNode } from '@/interfaces/database/agent';
 import { NodeProps, Position } from '@xyflow/react';
 import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
 import { NodeHandleId } from '../../constant';
+import { TokenizerFormSchemaType } from '../../form/tokenizer-form';
+import { LabelCard } from './card';
 import { CommonHandle } from './handle';
 import { LeftHandleStyle } from './handle-icon';
 import NodeHeader from './node-header';
@@ -13,7 +16,9 @@ function TokenizerNode({
   data,
   isConnectable = true,
   selected,
-}: NodeProps<IRagNode>) {
+}: NodeProps<BaseNode<TokenizerFormSchemaType>>) {
+  const { t } = useTranslation();
+
   return (
     <ToolBar
       selected={selected}
@@ -32,6 +37,16 @@ function TokenizerNode({
           nodeId={id}
         ></CommonHandle>
         <NodeHeader id={id} name={data.name} label={data.label}></NodeHeader>
+        <LabelCard className="text-text-primary flex justify-between flex-col gap-1">
+          <span className="text-text-secondary">
+            {t('dataflow.searchMethod')}
+          </span>
+          <ul className="space-y-1">
+            {data.form?.search_method.map((x) => (
+              <li key={x}>{t(`dataflow.tokenizerSearchMethodOptions.${x}`)}</li>
+            ))}
+          </ul>
+        </LabelCard>
       </NodeWrapper>
     </ToolBar>
   );

web/src/pages/data-flow/constant.tsx

@@ -337,7 +337,7 @@ export const NodeMap = {
   [Operator.Parser]: 'parserNode',
   [Operator.Tokenizer]: 'tokenizerNode',
   [Operator.Splitter]: 'splitterNode',
-  [Operator.HierarchicalMerger]: 'hierarchicalMergerNode',
+  [Operator.HierarchicalMerger]: 'splitterNode',
   [Operator.Extractor]: 'contextNode',
 };
 

web/src/pages/data-flow/form-sheet/next.tsx

@@ -58,7 +58,13 @@ const FormSheet = ({
           <SheetTitle className="hidden"></SheetTitle>
           <section className="flex-col border-b py-2 px-5">
             <div className="flex items-center gap-2 pb-3">
-              <OperatorIcon name={operatorName}></OperatorIcon>
+              <OperatorIcon
+                name={
+                  operatorName === Operator.HierarchicalMerger
+                    ? Operator.Splitter
+                    : operatorName
+                }
+              ></OperatorIcon>
               <div className="flex items-center gap-1 flex-1">
                 <label htmlFor="">{t('flow.title')}</label>
                 {node?.id === BeginId ? (

web/src/pages/data-flow/form/parser-form/index.tsx

@@ -30,7 +30,6 @@ import { useWatchFormChange } from '../../hooks/use-watch-form-change';
 import { INextOperatorForm } from '../../interface';
 import { buildOutputList } from '../../utils/build-output-list';
 import { Output } from '../components/output';
-import { OutputFormatFormField } from './common-form-fields';
 import { EmailFormFields } from './email-form-fields';
 import { ImageFormFields } from './image-form-fields';
 import { PdfFormFields } from './pdf-form-fields';
@@ -147,10 +146,10 @@ function ParserItem({
         )}
       </RAGFlowFormItem>
       <Widget prefix={prefix} fileType={fileFormat as FileType}></Widget>
-      <OutputFormatFormField
+      {/* <OutputFormatFormField
         prefix={prefix}
         fileType={fileFormat as FileType}
-      />
+      /> */}
       {index < fieldLength - 1 && <Separator />}
     </section>
   );

web/src/pages/data-flow/form/splitter-form/index.tsx

@@ -26,7 +26,7 @@ export const FormSchema = z.object({
       value: z.string().optional(),
     }),
   ),
-  overlapped_percent: z.number(), // 0.0 - 0.3
+  overlapped_percent: z.number(), // 0.0 - 0.3 , 0% - 30%
 });
 
 export type SplitterFormSchemaType = z.infer<typeof FormSchema>;
@@ -58,9 +58,8 @@ const SplitterForm = ({ node }: INextOperatorForm) => {
         ></SliderInputFormField>
         <SliderInputFormField
           name="overlapped_percent"
-          max={0.3}
+          max={30}
           min={0}
-          step={0.01}
           label={t('dataflow.overlappedPercent')}
         ></SliderInputFormField>
         <section>

web/src/pages/data-flow/form/tokenizer-form/index.tsx

@@ -29,6 +29,8 @@ export const FormSchema = z.object({
   fields: z.string(),
 });
 
+export type TokenizerFormSchemaType = z.infer<typeof FormSchema>;
+
 const TokenizerForm = ({ node }: INextOperatorForm) => {
   const { t } = useTranslation();
   const defaultValues = useFormValues(initialTokenizerValues, node);
@@ -44,7 +46,7 @@ const TokenizerForm = ({ node }: INextOperatorForm) => {
     'dataflow.tokenizerFieldsOptions',
   );
 
-  const form = useForm<z.infer<typeof FormSchema>>({
+  const form = useForm<TokenizerFormSchemaType>({
     defaultValues,
     resolver: zodResolver(FormSchema),
     mode: 'onChange',

web/src/pages/data-flow/utils.ts

@@ -131,6 +131,7 @@ function transformParserParams(params: ParserFormSchemaType) {
 function transformSplitterParams(params: SplitterFormSchemaType) {
   return {
     ...params,
+    overlapped_percent: Number(params.overlapped_percent) / 100,
     delimiters: transformObjectArrayToPureArray(params.delimiters, 'value'),
   };
 }

web/src/pages/dataflow-result/components/parse-editer/index.tsx

@@ -44,7 +44,7 @@ const FormatPreserveEditor = ({
         />
       )}
 
-      {['text', 'html'].includes(initialValue.key) && (
+      {['text', 'html', 'markdown'].includes(initialValue.key) && (
         <ObjectContainer
           isReadonly={isReadonly}
           className={className}

web/src/pages/dataflow-result/components/parse-editer/interface.ts

@@ -1,6 +1,6 @@
 import { CheckedState } from '@radix-ui/react-checkbox';
 import { ChunkTextMode } from '../../constant';
-import { IChunk } from '../../interface';
+import { ComponentParams, IChunk } from '../../interface';
 import { parserKeyMap } from './json-parser';
 
 export interface FormatPreserveEditorProps {
@@ -28,6 +28,7 @@ export type IJsonContainerProps = {
     value: {
       [key: string]: string;
     }[];
+    params: ComponentParams;
   };
   isChunck?: boolean;
   handleCheck: (e: CheckedState, index: number) => void;
@@ -52,6 +53,7 @@ export type IObjContainerProps = {
     key: string;
     type: string;
     value: string;
+    params: ComponentParams;
   };
   isChunck?: boolean;
   handleCheck: (e: CheckedState, index: number) => void;

web/src/pages/dataflow-result/components/parse-editer/json-parser.tsx

@@ -1,6 +1,7 @@
 import { Checkbox } from '@/components/ui/checkbox';
 import { cn } from '@/lib/utils';
-import { useCallback, useEffect } from 'react';
+import { isArray } from 'lodash';
+import { useCallback, useEffect, useMemo } from 'react';
 import { ChunkTextMode } from '../../constant';
 import styles from '../../index.less';
 import { useParserInit } from './hook';
@@ -33,7 +34,13 @@ export const ArrayContainer = (props: IJsonContainerProps) => {
     editDivRef,
   } = useParserInit({ initialValue });
 
-  const parserKey = parserKeyMap[content.key as keyof typeof parserKeyMap];
+  const parserKey = useMemo(() => {
+    const key =
+      content.key === 'chunks' && content.params.field_name
+        ? content.params.field_name
+        : parserKeyMap[content.key as keyof typeof parserKeyMap];
+    return key;
+  }, [content]);
 
   const handleEdit = useCallback(
     (e?: any, index?: number) => {
@@ -73,7 +80,8 @@ export const ArrayContainer = (props: IJsonContainerProps) => {
 
   return (
     <>
-      {content.value?.map((item, index) => {
+      {isArray(content.value) &&
+        content.value?.map((item, index) => {
           if (
             item[parserKeyMap[content.key as keyof typeof parserKeyMap]] === ''
           ) {
@@ -128,7 +136,7 @@ export const ArrayContainer = (props: IJsonContainerProps) => {
                     }
                   }}
                 >
-                {item[parserKeyMap[content.key]]}
+                  {item[parserKey]}
                 </div>
               )}
             </section>

web/src/pages/dataflow-result/hooks.ts

@@ -218,18 +218,11 @@ export const useTimelineDataFlow = (data: IPipelineFileLogDetail) => {
     const nodes: Array<ITimelineNodeObj & { id: number | string }> = [];
     console.log('time-->', data);
     const times = data?.dsl?.components;
+    const graphNodes = data?.dsl?.graph?.nodes;
     if (times) {
-      const getNode = (
+      const getNode = (key: string, index: number, type: TimelineNodeType) => {
-        key: string,
-        index: number,
-        type:
-          | TimelineNodeType.begin
-          | TimelineNodeType.parser
-          | TimelineNodeType.tokenizer
-          | TimelineNodeType.characterSplitter
-          | TimelineNodeType.titleSplitter,
-      ) => {
         const node = times[key].obj;
+        const graphNode = graphNodes?.find((item) => item.id === key);
         const name = camelCase(
           node.component_name,
         ) as keyof typeof TimelineNodeObj;
@@ -247,6 +240,7 @@ export const useTimelineDataFlow = (data: IPipelineFileLogDetail) => {
         }
         const timeNode = {
           ...TimelineNodeObj[name],
+          title: graphNode?.data?.name,
           id: index,
           className: 'w-32',
           completed: false,
@@ -255,6 +249,13 @@ export const useTimelineDataFlow = (data: IPipelineFileLogDetail) => {
           ),
           type: tempType,
           detail: { value: times[key], key: key },
+        } as ITimelineNodeObj & {
+          id: number | string;
+          className: string;
+          completed: boolean;
+          date: string;
+          type: TimelineNodeType;
+          detail: { value: IDslComponent; key: string };
         };
         console.log('timeNodetype-->', type);
         nodes.push(timeNode);
@@ -329,3 +330,30 @@ export function useFetchPipelineResult({
 
   return { pipelineResult };
 }
+
+export const useSummaryInfo = (
+  data: IPipelineFileLogDetail,
+  currentTimeNode: TimelineNode,
+) => {
+  const summaryInfo = useMemo(() => {
+    if (currentTimeNode.type === TimelineNodeType.parser) {
+      const setups =
+        currentTimeNode.detail?.value?.obj?.params?.setups?.[
+          data.document_suffix
+        ];
+      if (setups) {
+        const { output_format, parse_method } = setups;
+        const res = [];
+        if (parse_method) {
+          res.push(`${t('dataflow.parserMethod')}: ${parse_method}`);
+        }
+        if (output_format) {
+          res.push(`${t('dataflow.outputFormat')}: ${output_format}`);
+        }
+        return res.join(' ');
+      }
+    }
+    return '';
+  }, [data, currentTimeNode]);
+  return { summaryInfo };
+};

web/src/pages/dataflow-result/index.tsx

@@ -9,6 +9,7 @@ import {
   useGetPipelineResultSearchParams,
   useHandleChunkCardClick,
   useRerunDataflow,
+  useSummaryInfo,
   useTimelineDataFlow,
 } from './hooks';
 
@@ -61,7 +62,7 @@ const Chunk = () => {
   );
 
   const {
-    navigateToDataset,
+    navigateToDatasetOverview,
     navigateToDatasetList,
     navigateToAgents,
     navigateToDataflow,
@@ -150,7 +151,7 @@ const Chunk = () => {
       ({} as TimelineNode)
     );
   }, [activeStepId, timelineNodes]);
-
+  const { summaryInfo } = useSummaryInfo(dataset, currentTimeNode);
   return (
     <>
       <PageHeader>
@@ -175,7 +176,7 @@ const Chunk = () => {
               <BreadcrumbLink
                 onClick={() => {
                   if (knowledgeId) {
-                    navigateToDataset(knowledgeId)();
+                    navigateToDatasetOverview(knowledgeId)();
                   }
                   if (agentId) {
                     navigateToDataflow(agentId)();
@@ -220,7 +221,7 @@ const Chunk = () => {
               ></DocumentPreview>
             </section>
           </div>
-          <div className="h-dvh border-r -mt-3"></div>
+          <div className="h-[calc(100vh-100px)] border-r -mt-3"></div>
           <div className="w-3/5 h-full">
             {/* {currentTimeNode?.type === TimelineNodeType.splitter && (
               <ChunkerContainer
@@ -246,6 +247,7 @@ const Chunk = () => {
                     key: string;
                   }
                 }
+                summaryInfo={summaryInfo}
                 clickChunk={handleChunkCardClick}
                 reRunFunc={handleReRunFunc}
               />

web/src/pages/dataflow-result/interface.ts

@@ -1,6 +1,6 @@
 import { PipelineResultSearchParams } from './constant';
 
-interface ComponentParams {
+export interface ComponentParams {
   debug_inputs: Record<string, any>;
   delay_after_error: number;
   description: string;
@@ -8,6 +8,7 @@ interface ComponentParams {
   exception_goto: any;
   exception_method: any;
   inputs: Record<string, any>;
+  field_name: string;
   max_retries: number;
   message_history_window_size: number;
   outputs: {
@@ -30,6 +31,66 @@ export interface IDslComponent {
   obj: ComponentObject;
   upstream: Array<string>;
 }
+
+interface NodeData {
+  label: string;
+  name: string;
+  form?: {
+    outputs?: Record<
+      string,
+      {
+        type: string;
+        value: string | Array<Record<string, any>> | number;
+      }
+    >;
+    setups?: Array<Record<string, any>>;
+    chunk_token_size?: number;
+    delimiters?: Array<{
+      value: string;
+    }>;
+    overlapped_percent?: number;
+  };
+}
+
+interface EdgeData {
+  isHovered: boolean;
+}
+
+interface Position {
+  x: number;
+  y: number;
+}
+
+interface Measured {
+  height: number;
+  width: number;
+}
+
+interface Node {
+  data: NodeData;
+  dragging: boolean;
+  id: string;
+  measured: Measured;
+  position: Position;
+  selected: boolean;
+  sourcePosition: string;
+  targetPosition: string;
+  type: string;
+}
+
+interface Edge {
+  data: EdgeData;
+  id: string;
+  source: string;
+  sourceHandle: string;
+  target: string;
+  targetHandle: string;
+}
+interface GraphData {
+  edges: Edge[];
+  nodes: Node[];
+}
+
 export interface IPipelineFileLogDetail {
   avatar: string;
   create_date: string;
@@ -42,6 +103,7 @@ export interface IPipelineFileLogDetail {
     components: {
       [key: string]: IDslComponent;
     };
+    graph: GraphData;
     task_id: string;
     path: Array<string>;
   };

web/src/pages/dataflow-result/parser.tsx

@@ -19,6 +19,7 @@ interface IProps {
   data: { value: IDslComponent; key: string };
   reRunLoading: boolean;
   clickChunk: (chunk: IChunk) => void;
+  summaryInfo: string;
   reRunFunc: (data: { value: IDslComponent; key: string }) => void;
 }
 const ParserContainer = (props: IProps) => {
@@ -31,6 +32,7 @@ const ParserContainer = (props: IProps) => {
     reRunLoading,
     clickChunk,
     isReadonly,
+    summaryInfo,
   } = props;
   const { t } = useTranslation();
   const [selectedChunkIds, setSelectedChunkIds] = useState<string[]>([]);
@@ -46,6 +48,7 @@ const ParserContainer = (props: IProps) => {
       key,
       type,
       value,
+      params: data?.value?.obj?.params,
     };
   }, [data]);
 
@@ -130,7 +133,7 @@ const ParserContainer = (props: IProps) => {
       const newText = [...initialText.value, { text: text || ' ' }];
       setInitialText({
         ...initialText,
-        value: newText,
+        value: newText as any,
       });
     },
     [initialText],
@@ -156,15 +159,16 @@ const ParserContainer = (props: IProps) => {
                 {t('dataflowParser.parseSummary')}
               </h2>
               <div className="text-[12px] text-text-secondary italic ">
-                {t('dataflowParser.parseSummaryTip')}
+                {/* {t('dataflowParser.parseSummaryTip')} */}
+                {summaryInfo}
               </div>
             </div>
           )}
           {isChunck && (
             <div>
-              <h2 className="text-[16px]">{t('chunk.chunkResult')}</h2>
+              <h2 className="text-[16px]">{t('dataflowParser.result')}</h2>
               <div className="text-[12px] text-text-secondary italic">
-                {t('chunk.chunkResultTip')}
+                {/* {t('chunk.chunkResultTip')} */}
               </div>
             </div>
           )}
@@ -190,7 +194,7 @@ const ParserContainer = (props: IProps) => {
 
         <div
           className={cn(
-            ' border rounded-lg p-[20px] box-border w-[calc(100%-20px)] overflow-auto scrollbar-none',
+            ' border rounded-lg p-[20px] box-border w-[calc(100%-20px)] overflow-auto scrollbar-auto',
             {
               'h-[calc(100vh-240px)]': isChunck,
               'h-[calc(100vh-180px)]': !isChunck,

web/src/pages/dataset/dataset-overview/dataset-common.ts

@@ -10,5 +10,5 @@ export enum ProcessingType {
 
 export const ProcessingTypeMap = {
   [ProcessingType.knowledgeGraph]: 'Knowledge Graph',
-  [ProcessingType.raptor]: 'Raptor',
+  [ProcessingType.raptor]: 'RAPTOR',
 };

web/src/pages/dataset/dataset-overview/overview-table.tsx

@@ -109,7 +109,9 @@ export const getFileLogsTableColumns = (
             name={row.original.pipeline_title}
             className="size-4"
           />
-          {row.original.pipeline_title}
+          {row.original.pipeline_title === 'naive'
+            ? 'general'
+            : row.original.pipeline_title}
         </div>
       ),
     },
@@ -396,7 +398,7 @@ const FileLogsTable: FC<FileLogsTableProps> = ({
             </TableRow>
           ))}
         </TableHeader>
-        <TableBody className="relative">
+        <TableBody className="relative min-w-[1280px] overflow-auto">
           {table.getRowModel().rows?.length ? (
             table.getRowModel().rows.map((row) => (
               <TableRow

web/src/pages/dataset/dataset-setting/configuration/common-item.tsx

@@ -100,6 +100,7 @@ export function EmbeddingModelItem({ line = 1, isEdit = true }: IProps) {
                     options={embeddingModelOptions}
                     disabled={isEdit ? disabled : false}
                     placeholder={t('embeddingModelPlaceholder')}
+                    triggerClassName="!bg-bg-base"
                   />
                 </FormControl>
               </div>

web/src/pages/dataset/dataset-setting/configuration/naive.tsx

@@ -6,7 +6,6 @@ import { DelimiterFormField } from '@/components/delimiter-form-field';
 import { ExcelToHtmlFormField } from '@/components/excel-to-html-form-field';
 import { LayoutRecognizeFormField } from '@/components/layout-recognize-form-field';
 import { MaxTokenNumberFormField } from '@/components/max-token-number-from-field';
-import { TagItems } from '../components/tag-item';
 import {
   ConfigurationFormContainer,
   MainContainer,
@@ -26,7 +25,7 @@ export function NaiveConfiguration() {
         <AutoKeywordsFormField></AutoKeywordsFormField>
         <AutoQuestionsFormField></AutoQuestionsFormField>
         <ExcelToHtmlFormField></ExcelToHtmlFormField>
-        <TagItems></TagItems>
+        {/* <TagItems></TagItems> */}
       </ConfigurationFormContainer>
     </MainContainer>
   );

web/src/pages/home/application-card.tsx

@@ -20,15 +20,15 @@ export function ApplicationCard({
 }: ApplicationCardProps) {
   return (
     <Card className="w-[264px]" onClick={onClick}>
-      <CardContent className="p-2.5  group flex justify-between">
+      <CardContent className="p-2.5  group flex justify-between w-full">
-        <div className="flex items-center gap-2.5">
+        <div className="flex items-center gap-2.5 w-full">
           <RAGFlowAvatar
             className="size-14 rounded-lg"
             avatar={app.avatar}
             name={app.title || 'CN'}
           ></RAGFlowAvatar>
           <div className="flex-1">
-            <h3 className="text-sm font-normal line-clamp-1 mb-1">
+            <h3 className="text-sm font-normal line-clamp-1 mb-1 text-ellipsis w-[180px] overflow-hidden">
               {app.title}
             </h3>
             <p className="text-xs font-normal text-text-secondary">

web/src/pages/login-next/bg.tsx

@@ -134,7 +134,7 @@ export const BgSvg = () => {
           )}
         </div>
         <div
-          className={`w-full -mt-40`}
+          className={`w-full -mt-48`}
           style={{ height: aspectRatio['middle'] + 'px' }}
         >
           {def(
@@ -144,7 +144,7 @@ export const BgSvg = () => {
           )}
         </div>
         <div
-          className={`w-full -mt-52`}
+          className={`w-full -mt-72`}
           style={{ height: aspectRatio['bottom'] + 'px' }}
         >
           {def(

web/src/pages/login-next/card.tsx

@@ -23,12 +23,12 @@ const FlipCard3D = (props: IProps) => {
         className={`relative w-full h-full transition-transform transform-style-3d ${isFlipped ? 'rotate-y-180' : ''}`}
       >
         {/* Front Face */}
-        <div className="absolute inset-0 flex items-center justify-center bg-blue-500 text-white rounded-xl backface-hidden">
+        <div className="absolute inset-0 flex items-center justify-center backface-hidden">
           {children}
         </div>
 
         {/* Back Face */}
-        <div className="absolute inset-0 flex items-center justify-center bg-green-500 text-white rounded-xl backface-hidden rotate-y-180">
+        <div className="absolute inset-0 flex items-center justify-center backface-hidden rotate-y-180">
           {children}
         </div>
       </div>

web/src/pages/login-next/index.less

@@ -42,6 +42,10 @@
 //////////////////////////////////////////////////////////////////////////
 .perspective-1000 {
   perspective: 1000px;
+  overflow: hidden;
+  min-height: 680px;
+  display: flex;
+  align-items: center;
 }
 .transform-style-3d {
   transform-style: preserve-3d;

web/src/pages/login-next/index.tsx

@@ -24,6 +24,7 @@ import {
   FormMessage,
 } from '@/components/ui/form';
 import { Input } from '@/components/ui/input';
+import { cn } from '@/lib/utils';
 import { zodResolver } from '@hookform/resolvers/zod';
 import { Eye, EyeOff } from 'lucide-react';
 import { useForm } from 'react-hook-form';
@@ -135,8 +136,7 @@ const Login = () => {
   };
 
   return (
-    <div className="min-h-screen relative overflow-hidden">
+    <>
-      <BgSvg />
       <Spotlight opcity={0.4} coverage={60} color={'rgb(128, 255, 248)'} />
       <Spotlight
         opcity={0.3}
@@ -152,11 +152,13 @@ const Login = () => {
         Y={'-10%'}
         color={'rgb(128, 255, 248)'}
       />
+      <div className=" h-[inherit] relative overflow-auto">
+        <BgSvg />
 
         {/* <SpotlightTopRight opcity={0.7} coverage={10} /> */}
         <div className="absolute top-3 flex flex-col items-center mb-12 w-full text-text-primary">
           <div className="flex items-center mb-4 w-full pl-10 pt-10 ">
-          <div className="w-12 h-12 p-2 rounded-lg border-2 border-border flex items-center justify-center mr-3">
+            <div className="w-12 h-12 p-2 rounded-lg bg-bg-base border-2 border-border flex items-center justify-center mr-3">
               <img
                 src={'/logo.svg'}
                 alt="logo"
@@ -165,12 +167,15 @@ const Login = () => {
             </div>
             <div className="text-xl font-bold self-center">RAGFlow</div>
           </div>
-        <h1 className="text-2xl font-bold  text-center mb-2">{t('title')}</h1>
+          <h1 className="text-[36px] font-medium  text-center mb-2">
-        <div className="mt-4 px-6 py-1 text-sm font-medium text-cyan-600 border border-accent-primary rounded-full hover:bg-cyan-50 transition-colors duration-200 border-glow relative overflow-hidden">
+            {t('title')}
+          </h1>
+          {/* border border-accent-primary rounded-full */}
+          {/* <div className="mt-4 px-6 py-1 text-sm font-medium text-cyan-600  hover:bg-cyan-50 transition-colors duration-200 border-glow relative overflow-hidden">
             {t('start')}
+          </div> */}
         </div>
-      </div>
+        <div className="relative z-10 flex flex-col items-center justify-center min-h-[1050px] px-4 sm:px-6 lg:px-8">
-      <div className="relative z-10 flex flex-col items-center justify-center min-h-screen px-4 sm:px-6 lg:px-8">
           {/* Logo and Header */}
 
           {/* Login Form */}
@@ -181,10 +186,10 @@ const Login = () => {
                   {title === 'login' ? t('loginTitle') : t('signUpTitle')}
                 </h2>
               </div>
-            <div className="w-full max-w-md bg-bg-base backdrop-blur-sm rounded-2xl shadow-xl pt-14 pl-8 pr-8 pb-2 border border-border-button ">
+              <div className=" w-full max-w-[540px] bg-bg-component backdrop-blur-sm rounded-2xl shadow-xl pt-14 pl-10 pr-10 pb-2 border border-border-button ">
                 <Form {...form}>
                   <form
-                  className="flex flex-col gap-6 text-text-primary"
+                    className="flex flex-col gap-8 text-text-primary "
                     onSubmit={form.handleSubmit((data) => onCheck(data))}
                   >
                     <FormField
@@ -274,7 +279,14 @@ const Login = () => {
                                     field.onChange(checked);
                                   }}
                                 />
-                              <FormLabel>{t('rememberMe')}</FormLabel>
+                                <FormLabel
+                                  className={cn(' hover:text-text-primary', {
+                                    'text-text-disabled': !field.value,
+                                    'text-text-primary': field.value,
+                                  })}
+                                >
+                                  {t('rememberMe')}
+                                </FormLabel>
                               </div>
                             </FormControl>
                             <FormMessage />
@@ -315,13 +327,13 @@ const Login = () => {
                 </Form>
 
                 {title === 'login' && registerEnabled && (
-                <div className="mt-6 text-right">
+                  <div className="mt-10 text-right">
                     <p className="text-text-disabled text-sm">
                       {t('signInTip')}
                       <Button
                         variant={'transparent'}
                         onClick={changeTitle}
-                      className="text-cyan-600 hover:text-cyan-800 font-medium border-none transition-colors duration-200"
+                        className="text-accent-primary/90 hover:text-accent-primary hover:bg-transparent font-medium border-none transition-colors duration-200"
                       >
                         {t('signUp')}
                       </Button>
@@ -329,13 +341,13 @@ const Login = () => {
                   </div>
                 )}
                 {title === 'register' && (
-                <div className="mt-6 text-right">
+                  <div className="mt-10 text-right">
                     <p className="text-text-disabled text-sm">
                       {t('signUpTip')}
                       <Button
                         variant={'transparent'}
                         onClick={changeTitle}
-                      className="text-cyan-600 hover:text-cyan-800 font-medium border-none transition-colors duration-200"
+                        className="text-accent-primary/90 hover:text-accent-primary hover:bg-transparent font-medium border-none transition-colors duration-200"
                       >
                         {t('login')}
                       </Button>
@@ -347,6 +359,7 @@ const Login = () => {
           </FlipCard3D>
         </div>
       </div>
+    </>
   );
 };
 

web/src/pages/next-chats/chat/chat-box/multiple-chat-box.tsx

@@ -44,6 +44,7 @@ import { useAddChatBox } from '../use-add-box';
 type MultipleChatBoxProps = {
   controller: AbortController;
   chatBoxIds: string[];
+  stopOutputMessage(): void;
 } & Pick<
   ReturnType<typeof useAddChatBox>,
   'removeChatBox' | 'addChatBox' | 'chatBoxIds'
@@ -200,6 +201,7 @@ export function MultipleChatBox({
   chatBoxIds,
   removeChatBox,
   addChatBox,
+  stopOutputMessage,
 }: MultipleChatBoxProps) {
   const {
     value,
@@ -207,7 +209,6 @@ export function MultipleChatBox({
     messageRecord,
     handleInputChange,
     handlePressEnter,
-    stopOutputMessage,
     setFormRef,
     handleUploadFile,
   } = useSendMultipleChatMessage(controller, chatBoxIds);

web/src/pages/next-chats/chat/chat-box/single-chat-box.tsx

@@ -20,9 +20,10 @@ import { buildMessageItemReference } from '../../utils';
 
 interface IProps {
   controller: AbortController;
+  stopOutputMessage(): void;
 }
 
-export function SingleChatBox({ controller }: IProps) {
+export function SingleChatBox({ controller, stopOutputMessage }: IProps) {
   const {
     value,
     scrollRef,
@@ -34,7 +35,6 @@ export function SingleChatBox({ controller }: IProps) {
     handlePressEnter,
     regenerateMessage,
     removeMessageById,
-    stopOutputMessage,
     handleUploadFile,
     removeFile,
   } = useSendMessage(controller);

web/src/pages/next-chats/chat/index.tsx

@@ -39,7 +39,7 @@ export default function Chat() {
   const { t } = useTranslation();
   const { data: conversation } = useFetchConversation();
 
-  const { handleConversationCardClick, controller } =
+  const { handleConversationCardClick, controller, stopOutputMessage } =
     useHandleClickConversationCard();
   const { visible: settingVisible, switchVisible: switchSettingVisible } =
     useSetModalState(true);
@@ -74,6 +74,7 @@ export default function Chat() {
           controller={controller}
           removeChatBox={removeChatBox}
           addChatBox={addChatBox}
+          stopOutputMessage={stopOutputMessage}
         ></MultipleChatBox>
       </section>
     );
@@ -129,7 +130,10 @@ export default function Chat() {
                 </CardTitle>
               </CardHeader>
               <CardContent className="flex-1 p-0 min-h-0">
-                <SingleChatBox controller={controller}></SingleChatBox>
+                <SingleChatBox
+                  controller={controller}
+                  stopOutputMessage={stopOutputMessage}
+                ></SingleChatBox>
               </CardContent>
             </Card>
             {settingVisible && (

web/src/pages/next-chats/hooks/use-click-card.ts

@@ -5,16 +5,20 @@ export function useHandleClickConversationCard() {
   const [controller, setController] = useState(new AbortController());
   const { handleClickConversation } = useClickConversationCard();
 
-  const handleConversationCardClick = useCallback(
+  const stopOutputMessage = useCallback(() => {
-    (conversationId: string, isNew: boolean) => {
-      handleClickConversation(conversationId, isNew ? 'true' : '');
     setController((pre) => {
       pre.abort();
       return new AbortController();
     });
+  }, []);
+
+  const handleConversationCardClick = useCallback(
+    (conversationId: string, isNew: boolean) => {
+      handleClickConversation(conversationId, isNew ? 'true' : '');
+      stopOutputMessage();
     },
-    [handleClickConversation],
+    [handleClickConversation, stopOutputMessage],
   );
 
-  return { controller, handleConversationCardClick };
+  return { controller, handleConversationCardClick, stopOutputMessage };
 }

web/src/pages/next-chats/hooks/use-send-chat-message.ts

@@ -123,10 +123,6 @@ export const useSendMessage = (controller: AbortController) => {
     [getConversationIsNew, handleUploadFile, setConversation],
   );
 
-  const stopOutputMessage = useCallback(() => {
-    controller.abort();
-  }, [controller]);
-
   const sendMessage = useCallback(
     async ({
       message,
@@ -249,7 +245,6 @@ export const useSendMessage = (controller: AbortController) => {
     messageContainerRef,
     derivedMessages,
     removeMessageById,
-    stopOutputMessage,
     handleUploadFile: onUploadFile,
     isUploading,
     removeFile,

web/src/pages/next-chats/hooks/use-send-multiple-message.ts

@@ -35,10 +35,6 @@ export function useSendMultipleChatMessage(
   const { setFormRef, getLLMConfigById, isLLMConfigEmpty } =
     useBuildFormRefs(chatBoxIds);
 
-  const stopOutputMessage = useCallback(() => {
-    controller.abort();
-  }, [controller]);
-
   const addNewestQuestion = useCallback(
     (message: Message, answer: string = '') => {
       setMessageRecord((pre) => {
@@ -236,7 +232,6 @@ export function useSendMultipleChatMessage(
     sendMessage,
     handleInputChange,
     handlePressEnter,
-    stopOutputMessage,
     sendLoading: !allDone,
     setFormRef,
     handleUploadFile,

web/src/pages/next-search/markdown-content/index.tsx

@@ -64,7 +64,10 @@ const MarkdownContent = ({
   const { setDocumentIds, data: fileThumbnails } =
     useFetchDocumentThumbnailsByIds();
   const contentWithCursor = useMemo(() => {
-    let text = DOMPurify.sanitize(content);
+    let text = DOMPurify.sanitize(content, {
+      ADD_TAGS: ['think', 'section'],
+      ADD_ATTR: ['class'],
+    });
     // let text = content;
     if (text === '') {
       text = t('chat.searching');