From a36a0fe71c58993d629016b3f3eab224e25be306 Mon Sep 17 00:00:00 2001 From: Liu An Date: Wed, 12 Nov 2025 14:54:28 +0800 Subject: [PATCH] Docs: Update version references to v0.22.0 in READMEs and docs (#11211) ### What problem does this PR solve? - Update version tags in README files (including translations) from v0.21.1 to v0.22.0 - Modify Docker image references and documentation to reflect new version - Update version badges and image descriptions - Maintain consistency across all language variants of README files ### Type of change - [x] Documentation Update --- admin/client/README.md | 2 +- admin/client/admin_client.py | 2 +- docker/.env | 4 ++-- docs/configurations.md | 2 +- docs/develop/build_docker_image.mdx | 2 +- docs/guides/chat/start_chat.md | 2 +- docs/guides/dataset/configure_knowledge_base.md | 4 ++-- docs/guides/manage_files.md | 2 +- docs/guides/manage_users_and_services.md | 2 +- docs/guides/tracing.mdx | 2 +- docs/guides/upgrade_ragflow.mdx | 10 +++++----- docs/quickstart.mdx | 6 +++--- docs/references/glossary.mdx | 2 +- helm/values.yaml | 2 +- pyproject.toml | 2 +- sdk/python/pyproject.toml | 2 +- sdk/python/uv.lock | 2 +- uv.lock | 2 +- 18 files changed, 26 insertions(+), 26 deletions(-) diff --git a/admin/client/README.md b/admin/client/README.md index d13ff4dd7..1964a41d4 100644 --- a/admin/client/README.md +++ b/admin/client/README.md @@ -48,7 +48,7 @@ It consists of a server-side Service and a command-line client (CLI), both imple 1. Ensure the Admin Service is running. 2. Install ragflow-cli. ```bash - pip install ragflow-cli==0.21.1 + pip install ragflow-cli==0.22.0 ``` 3. Launch the CLI client: ```bash diff --git a/admin/client/admin_client.py b/admin/client/admin_client.py index 098132fd3..b52e67494 100644 --- a/admin/client/admin_client.py +++ b/admin/client/admin_client.py @@ -378,7 +378,7 @@ class AdminCLI(Cmd): self.session.headers.update({ 'Content-Type': 'application/json', 'Authorization': response.headers['Authorization'], - 'User-Agent': 'RAGFlow-CLI/0.21.1' + 'User-Agent': 'RAGFlow-CLI/0.22.0' }) print("Authentication successful.") return True diff --git a/docker/.env b/docker/.env index f62292724..5ed35b1b9 100644 --- a/docker/.env +++ b/docker/.env @@ -109,8 +109,8 @@ SVR_MCP_PORT=9382 RAGFLOW_IMAGE=infiniflow/ragflow:v0.22.0 # If you cannot download the RAGFlow Docker image: -# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v0.21.1 -# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v0.21.1 +# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v0.22.0 +# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v0.22.0 # # - For the `nightly` edition, uncomment either of the following: # RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly diff --git a/docs/configurations.md b/docs/configurations.md index 37a96c4e6..ee3b1bfbc 100644 --- a/docs/configurations.md +++ b/docs/configurations.md @@ -97,7 +97,7 @@ RAGFlow utilizes MinIO as its object storage solution, leveraging its scalabilit - `SVR_HTTP_PORT` The port used to expose RAGFlow's HTTP API service to the host machine, allowing **external** access to the service running inside the Docker container. Defaults to `9380`. - `RAGFLOW-IMAGE` - The Docker image edition. Defaults to `infiniflow/ragflow:v0.21.1` (the RAGFlow Docker image without embedding models). + The Docker image edition. Defaults to `infiniflow/ragflow:v0.22.0` (the RAGFlow Docker image without embedding models). :::tip NOTE If you cannot download the RAGFlow Docker image, try the following mirrors. diff --git a/docs/develop/build_docker_image.mdx b/docs/develop/build_docker_image.mdx index 07451498e..5ecdc3748 100644 --- a/docs/develop/build_docker_image.mdx +++ b/docs/develop/build_docker_image.mdx @@ -47,7 +47,7 @@ After building the infiniflow/ragflow:nightly image, you are ready to launch a f 1. Edit Docker Compose Configuration -Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.21.1` to `infiniflow/ragflow:nightly` to use the pre-built image. +Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.22.0` to `infiniflow/ragflow:nightly` to use the pre-built image. 2. Launch the Service diff --git a/docs/guides/chat/start_chat.md b/docs/guides/chat/start_chat.md index 1e4265fe8..d057151e2 100644 --- a/docs/guides/chat/start_chat.md +++ b/docs/guides/chat/start_chat.md @@ -48,7 +48,7 @@ You start an AI conversation by creating an assistant. - If no target language is selected, the system will search only in the language of your query, which may cause relevant information in other languages to be missed. - **Variable** refers to the variables (keys) to be used in the system prompt. `{knowledge}` is a reserved variable. Click **Add** to add more variables for the system prompt. - If you are uncertain about the logic behind **Variable**, leave it *as-is*. - - As of v0.21.1, if you add custom variables here, the only way you can pass in their values is to call: + - As of v0.17.2, if you add custom variables here, the only way you can pass in their values is to call: - HTTP method [Converse with chat assistant](../../references/http_api_reference.md#converse-with-chat-assistant), or - Python method [Converse with chat assistant](../../references/python_api_reference.md#converse-with-chat-assistant). diff --git a/docs/guides/dataset/configure_knowledge_base.md b/docs/guides/dataset/configure_knowledge_base.md index 2b737fb5c..ac3369070 100644 --- a/docs/guides/dataset/configure_knowledge_base.md +++ b/docs/guides/dataset/configure_knowledge_base.md @@ -59,7 +59,7 @@ You can also change a file's chunking method on the **Files** page. ![change chunking method](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/change_chunking_method.jpg)
- From v0.21.1 onward, RAGFlow supports ingestion pipeline for customized data ingestion and cleansing workflows. + From v0.21.0 onward, RAGFlow supports ingestion pipeline for customized data ingestion and cleansing workflows. To use a customized data pipeline: @@ -133,7 +133,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details. ## Search for dataset -As of RAGFlow v0.21.1, the search feature is still in a rudimentary form, supporting only dataset search by name. +As of RAGFlow v0.22.0, the search feature is still in a rudimentary form, supporting only dataset search by name. ![search dataset](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/search_datasets.jpg) diff --git a/docs/guides/manage_files.md b/docs/guides/manage_files.md index 127eaf54f..e28b73ff1 100644 --- a/docs/guides/manage_files.md +++ b/docs/guides/manage_files.md @@ -87,4 +87,4 @@ RAGFlow's file management allows you to download an uploaded file: ![download_file](https://github.com/infiniflow/ragflow/assets/93570324/cf3b297f-7d9b-4522-bf5f-4f45743e4ed5) -> As of RAGFlow v0.21.1, bulk download is not supported, nor can you download an entire folder. +> As of RAGFlow v0.22.0, bulk download is not supported, nor can you download an entire folder. diff --git a/docs/guides/manage_users_and_services.md b/docs/guides/manage_users_and_services.md index 79e968e90..1d7f0fa64 100644 --- a/docs/guides/manage_users_and_services.md +++ b/docs/guides/manage_users_and_services.md @@ -46,7 +46,7 @@ The Admin CLI and Admin Service form a client-server architectural suite for RAG 2. Install ragflow-cli. ```bash - pip install ragflow-cli==0.21.1 + pip install ragflow-cli==0.22.0 ``` 3. Launch the CLI client: diff --git a/docs/guides/tracing.mdx b/docs/guides/tracing.mdx index 37e5243ae..c9f37ba75 100644 --- a/docs/guides/tracing.mdx +++ b/docs/guides/tracing.mdx @@ -18,7 +18,7 @@ RAGFlow ships with a built-in [Langfuse](https://langfuse.com) integration so th Langfuse stores traces, spans and prompt payloads in a purpose-built observability backend and offers filtering and visualisations on top. :::info NOTE -• RAGFlow **≥ 0.21.1** (contains the Langfuse connector) +• RAGFlow **≥ 0.18.0** (contains the Langfuse connector) • A Langfuse workspace (cloud or self-hosted) with a _Project Public Key_ and _Secret Key_ ::: diff --git a/docs/guides/upgrade_ragflow.mdx b/docs/guides/upgrade_ragflow.mdx index c54d42d7d..f10e549ed 100644 --- a/docs/guides/upgrade_ragflow.mdx +++ b/docs/guides/upgrade_ragflow.mdx @@ -48,16 +48,16 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag git clone https://github.com/infiniflow/ragflow.git ``` -2. Switch to the latest, officially published release, e.g., `v0.21.1`: +2. Switch to the latest, officially published release, e.g., `v0.22.0`: ```bash - git checkout -f v0.21.1 + git checkout -f v0.22.0 ``` 3. Update **ragflow/docker/.env**: ```bash - RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1 + RAGFLOW_IMAGE=infiniflow/ragflow:v0.22.0 ``` 4. Update the RAGFlow image and restart RAGFlow: @@ -78,10 +78,10 @@ No, you do not need to. Upgrading RAGFlow in itself will *not* remove your uploa 1. From an environment with Internet access, pull the required Docker image. 2. Save the Docker image to a **.tar** file. ```bash - docker save -o ragflow.v0.21.1.tar infiniflow/ragflow:v0.21.1 + docker save -o ragflow.v0.22.0.tar infiniflow/ragflow:v0.22.0 ``` 3. Copy the **.tar** file to the target server. 4. Load the **.tar** file into Docker: ```bash - docker load -i ragflow.v0.21.1.tar + docker load -i ragflow.v0.22.0.tar ``` diff --git a/docs/quickstart.mdx b/docs/quickstart.mdx index c4582caf9..a6706d06a 100644 --- a/docs/quickstart.mdx +++ b/docs/quickstart.mdx @@ -44,7 +44,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If `vm.max_map_count`. This value sets the maximum number of memory map areas a process may have. Its default value is 65530. While most applications require fewer than a thousand maps, reducing this value can result in abnormal behaviors, and the system will throw out-of-memory errors when a process reaches the limitation. - RAGFlow v0.21.1 uses Elasticsearch or [Infinity](https://github.com/infiniflow/infinity) for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component. + RAGFlow v0.22.0 uses Elasticsearch or [Infinity](https://github.com/infiniflow/infinity) for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component.