### What problem does this PR solve?
feat(next-search): Implements document preview functionality
- Adds a new document preview modal component
- Implements document preview page logic
- Adds document preview-related hooks
- Optimizes document preview rendering logic
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
KB folder may not there while creating virtual file. #9423
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Feat: Display a separate chat multi-model comparison page #3221
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
- Make `session_id` optional and add `inputs` parameter
- Remove deprecated `sync_dsl` parameter
- Update request/response examples to match current API behavior
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
Update broken create agent session due to v0.20.0 changes. #9383
**NOTE: A session ID is no longer required to interact with the agent.**
See: #9241, #9309.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Feat: Show multiple chat boxes #3221
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add `url`, `doc_type`, and `created_at` fields to the API response
example in the documentation.
### Type of change
- [x] Documentation Update
### What problem does this PR solve?
Feat: Fixed the issue where some fields in the chat configuration could
not be displayed #3221
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Allows set multiple types of default models in service config.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- Add type and boundary checks for conv["reference"] access
- Prevent KeyError: 0 when reference list is empty or malformed
- Ensure reference is list type before indexing
- Handle cases where reference items are None or missing chunks
- Maintains backward compatibility with existing data structures
This resolves crashes in /api/v1/agents/<agent_id>/sessions endpoint
when conversation reference data is not properly structured.
### What problem does this PR solve?
This PR fixes a critical `KeyError: 0` that occurs in the
`/api/v1/agents/<agent_id>/sessions` endpoint when the system attempts
to access conversation reference data that is not properly structured.
**Background Context:**
The `list_agent_session` method in `api/apps/sdk/session.py` assumes
that `conv["reference"]` is always a properly indexed list with valid
dictionary structures. However, in real-world scenarios, this data can
be:
- Not a list type (could be None, string, or other types)
- An empty list when `chunk_num` tries to access index 0
- Contains None values or malformed dictionary structures
- Missing expected "chunks" keys in reference items
**Impact Before Fix:**
When malformed reference data is encountered, the API crashes with:
```json
{
"code": 100,
"data": null,
"message": "KeyError(0)"
}
```
**Solution:**
Added comprehensive safety checks including type validation, boundary
checking, null safety, and structure validation to ensure the API
gracefully handles all reference data formats while maintaining backward
compatibility.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
### What problem does this PR solve?
Change return type of _generate_streamly from str to Generator[str,
None, None] to properly type hint streaming responses.
### Type of change
- [x] Refactoring
### What problem does this PR solve?
when begin component has optional file but not exist , it rase error
### Type of change
- [x] Bug Fix
Co-authored-by: Popmio <zhengyihao036@gamil.com>
### What problem does this PR solve?
Feat: Added meta data to the chat configuration page #8531
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
fix "File contains no valid workbook part"
stacktrace:
```
Traceback (most recent call last):
File "/ragflow/deepdoc/parser/excel_parser.py", line 54, in _load_excel_to_workbook
return RAGFlowExcelParser._dataframe_to_workbook(df)
File "/ragflow/deepdoc/parser/excel_parser.py", line 69, in _dataframe_to_workbook
ws.cell(row=row_num, column=col_num, value=value)
File "/ragflow/.venv/lib/python3.10/site-packages/openpyxl/worksheet/worksheet.py", line 246, in cell
cell.value = value
File "/ragflow/.venv/lib/python3.10/site-packages/openpyxl/cell/cell.py", line 218, in value
self._bind_value(value)
File "/ragflow/.venv/lib/python3.10/site-packages/openpyxl/cell/cell.py", line 197, in _bind_value
value = self.check_string(value)
File "/ragflow/.venv/lib/python3.10/site-packages/openpyxl/cell/cell.py", line 165, in check_string
raise IllegalCharacterError(f"{value} cannot be used in worksheets.")
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
### What problem does this PR solve?
Before executing the SQL, remove tags in the format [ID: number] to
avoid execution errors.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
Co-authored-by: wangyazhou <wangyazhou@sdibd.cn>
### What problem does this PR solve?
add fallback to `calamine` engine when parse error raised using the
default `openpyxl` / `xlrd` engine.
e.g. the following error can be fixed:
```
Traceback (most recent call last):
File "/ragflow/deepdoc/parser/excel_parser.py", line 53, in _load_excel_to_workbook
df = pd.read_excel(file_like_object)
File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 495, in read_excel
io = ExcelFile(
File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 1567, in __init__
self._reader = self._engines[engine](
File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 46, in __init__
super().__init__(
File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 573, in __init__
self.book = self.load_workbook(self.handles.handle, engine_kwargs)
File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 63, in load_workbook
return open_workbook(file_contents=data, **engine_kwargs)
File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/__init__.py", line 172, in open_workbook
bk = open_workbook_xls(
File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 68, in open_workbook_xls
bk.biff2_8_load(
File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 641, in biff2_8_load
cd.locate_named_stream(UNICODE_LITERAL(qname))
File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 398, in locate_named_stream
result = self._locate_stream(
File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 429, in _locate_stream
raise CompDocError("%s corruption: seen[%d] == %d" % (qname, s, self.seen[s]))
xlrd.compdoc.CompDocError: Workbook corruption: seen[2] == 4
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
https://github.com/infiniflow/ragflow/issues/9385
Based on my understanding, I think checking empty string is fine
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
### What problem does this PR solve?
feat(next-search): Added AI summary functionality #3221
- Added the LlmSettingFieldItems component for AI summary settings
- Updated the SearchSetting component to integrate AI summary
functionality
- Added the updateSearch hook and related service methods
- Modified the ISearchAppDetailProps interface to add the llm_setting
field
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
All models pass the mock response tests, which means that if a model can
return the correct response, everything should work as expected.
However, not all models have been fully tested in a real environment,
the real API_KEY. I suggest actively monitoring the refactored models
over the coming period to ensure they work correctly and fixing them
step by step, or waiting to merge until most have been tested in
practical environment.
### Type of change
- [x] Refactoring
### What problem does this PR solve?
- Fix error message assertion in test_update_chunk.py to match new
ownership validation
- Simplify dataset listing test cases by removing lambda assertions for
sorting
- Fix actions:
https://github.com/infiniflow/ragflow/actions/runs/16885465524/job/47831942553
### Type of change
- [x] Fix test cases
### What problem does this PR solve?
Python class Document was missing "meta_fields", e.g. when querying, the
document instances came without meta_fields
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Feat: Allow chat to use meta data #3221
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Using the mcp server in n8n sometimes (with smaller models) results in
errors because the llm misses a char or adds one to the list of
dataset_ids provided. It first asks for the list of datasets and if you
got a larger list of them it makes a error recalling the list
completely. So adding the feature to just search through all available
datasets solves this and makes the retrieval of data more stable. The
functionality to just call special datasets by id is not changed, the
dataset_ids are now not required anymore (only the "question" is). You
can provide (like before) a list of datasets, a empty list or no list at
all.
### Type of change
- [X] New Feature (non-breaking change which adds functionality)
<img width="1897" height="880" alt="mcp error dataset id"
src="https://github.com/user-attachments/assets/71076d24-f875-4663-a69a-60839fc7a545"
/>
Fixes an issue where running the sandbox (code component) fails due to
unresolved hostnames. Added missing service names (es01, infinity,
mysql, minio, redis) to 127.0.0.1 in the /etc/hosts example.
Reference: https://github.com/infiniflow/ragflow/issues/8226
## What this PR does
Updates the sandbox quickstart documentation to fix a known issue where
the sandbox fails to resolve required service hostnames.
## Why
Following the original instruction leads to a `Failed to resolve 'none'`
error, as discussed in issue #8226. Adding the missing service names to
`127.0.0.1` resolves the problem.
## Related issue
https://github.com/infiniflow/ragflow/issues/8226
## Note
It might be better to add `127.0.0.1 es01 infinity mysql minio redis` to
docs/quickstart.mdx, but since no issues appeared at the time without
adding this line—and the problem occurred while working with the code
component—I added it here.
### Type of change
- [X] Documentation Update
- Root cause: accessing req.get("dataset_ids") returns None when the key
is absent, causing KeyError.
- Fix: use req.get("dataset_ids", []) to default to empty list.
### What problem does this PR solve?
- Modify error message assertion in chunk update test to check for
document ownership
- Add GraphRAG configuration with `use_graphrag: False` in dataset
update tests
- Fix actions:
https://github.com/infiniflow/ragflow/actions/runs/16863637898/job/47767511582
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
- The default dataset_ids "kb1" was removed from the Chat class.
- The HTTP API response does not include the dataset_ids field.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Add full list of supported AWS Bedrock regions.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
fix "no `tc` element at grid_offset", just log warning and ignore.
stacktrace:
```
Traceback (most recent call last):
File "/ragflow/rag/svr/task_executor.py", line 620, in handle_task
await do_handle_task(task)
File "/ragflow/rag/svr/task_executor.py", line 553, in do_handle_task
chunks = await build_chunks(task, progress_callback)
File "/ragflow/rag/svr/task_executor.py", line 257, in build_chunks
cks = await trio.to_thread.run_sync(lambda: chunker.chunk(task["name"], binary=binary, from_page=task["from_page"],
File "/ragflow/.venv/lib/python3.10/site-packages/trio/_threads.py", line 447, in to_thread_run_sync
return msg_from_thread.unwrap()
File "/ragflow/.venv/lib/python3.10/site-packages/outcome/_impl.py", line 213, in unwrap
raise captured_error
File "/ragflow/.venv/lib/python3.10/site-packages/trio/_threads.py", line 373, in do_release_then_return_result
return result.unwrap()
File "/ragflow/.venv/lib/python3.10/site-packages/outcome/_impl.py", line 213, in unwrap
raise captured_error
File "/ragflow/.venv/lib/python3.10/site-packages/trio/_threads.py", line 392, in worker_fn
ret = context.run(sync_fn, *args)
File "/ragflow/rag/svr/task_executor.py", line 257, in <lambda>
cks = await trio.to_thread.run_sync(lambda: chunker.chunk(task["name"], binary=binary, from_page=task["from_page"],
File "/ragflow/rag/app/naive.py", line 384, in chunk
sections, tables = Docx()(filename, binary)
File "/ragflow/rag/app/naive.py", line 230, in __call__
while i < len(r.cells):
File "/ragflow/.venv/lib/python3.10/site-packages/docx/table.py", line 438, in cells
return tuple(_iter_row_cells())
File "/ragflow/.venv/lib/python3.10/site-packages/docx/table.py", line 436, in _iter_row_cells
yield from iter_tc_cells(tc)
File "/ragflow/.venv/lib/python3.10/site-packages/docx/table.py", line 424, in iter_tc_cells
yield from iter_tc_cells(tc._tc_above) # pyright: ignore[reportPrivateUsage]
File "/ragflow/.venv/lib/python3.10/site-packages/docx/oxml/table.py", line 741, in _tc_above
return self._tr_above.tc_at_grid_offset(self.grid_offset)
File "/ragflow/.venv/lib/python3.10/site-packages/docx/oxml/table.py", line 98, in tc_at_grid_offset
raise ValueError(f"no `tc` element at grid_offset={grid_offset}")
ValueError: no `tc` element at grid_offset=10
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
fix "broken data stream when writing image file", just log warning and
ignore
Close#8379
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fixes the issue in the analyze_task execution flow where the Lead Agent
was not utilizing its own sys_prompt during task analysis, resulting in
incorrect or incomplete task planning.
https://github.com/infiniflow/ragflow/issues/9294
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
- The enum import was changed from Python's built-in StrEnum to the
strenum package.
- Fix error `Warning: Failed to import module code_exec: cannot import
name 'StrEnum' from 'enum' (/usr/lib/python3.10/enum.py)`
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Feat: Run eslint when the project is running to standardize everyone's
code #9377
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
add ru
### What problem does this PR solve?
_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
