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DOC: for release. (#5472)

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### What problem does this PR solve?


### Type of change

- [x] Documentation Update

---------

Co-authored-by: Jin Hai <haijin.chn@gmail.com>
This commit is contained in:
Kevin Hu 2025-03-02 18:47:06 +08:00 committed by GitHub
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4
.github/workflows/tests.yml vendored
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@ -65,7 +65,7 @@ jobs:
- name: Start ragflow:nightly-slim
run: |
echo "RAGFLOW_IMAGE=infiniflow/ragflow:nightly-slim" >> docker/.env
echo -e "\nRAGFLOW_IMAGE=infiniflow/ragflow:nightly-slim" >> docker/.env
sudo docker compose -f docker/docker-compose.yml up -d
- name: Stop ragflow:nightly-slim
@ -75,7 +75,7 @@ jobs:
- name: Start ragflow:nightly
run: |
echo "RAGFLOW_IMAGE=infiniflow/ragflow:nightly" >> docker/.env
echo -e "\nRAGFLOW_IMAGE=infiniflow/ragflow:nightly" >> docker/.env
sudo docker compose -f docker/docker-compose.yml up -d
- name: Run sdk tests against Elasticsearch

8
README.md
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@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -173,7 +173,7 @@ releases! 🌟
3. Start up the server using the pre-built Docker images:
> The command below downloads the `v0.16.0-slim` edition of the RAGFlow Docker image. Refer to the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.16.0-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0` for the full edition `v0.16.0`.
> The command below downloads the `v0.17.0-slim` edition of the RAGFlow Docker image. Refer to the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.17.0-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0` for the full edition `v0.17.0`.
```bash
$ cd ragflow/docker
@ -182,8 +182,8 @@ releases! 🌟
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-slim | &approx;2 | ❌ | Stable release |
| v0.17.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

10
README_id.md
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@ -22,7 +22,7 @@
<img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Rilis%20Terbaru" alt="Rilis Terbaru">
@ -166,7 +166,7 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
3. Bangun image Docker pre-built dan jalankan server:
> Perintah di bawah ini mengunduh edisi v0.16.0-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.16.0-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0 untuk edisi lengkap v0.16.0.
> Perintah di bawah ini mengunduh edisi v0.17.0-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.17.0-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0 untuk edisi lengkap v0.17.0.
```bash
$ cd ragflow/docker
@ -174,9 +174,9 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-slim | &approx;2 | ❌ | Stable release |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

10
README_ja.md
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@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -146,7 +146,7 @@
3. ビルド済みの Docker イメージをビルドし、サーバーを起動する:
> 以下のコマンドは、RAGFlow Docker イメージの v0.16.0-slim エディションをダウンロードします。異なる RAGFlow エディションの説明については、以下の表を参照してください。v0.16.0-slim とは異なるエディションをダウンロードするには、docker/.env ファイルの RAGFLOW_IMAGE 変数を適宜更新し、docker compose を使用してサーバーを起動してください。例えば、完全版 v0.16.0 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0 と設定します。
> 以下のコマンドは、RAGFlow Docker イメージの v0.17.0-slim エディションをダウンロードします。異なる RAGFlow エディションの説明については、以下の表を参照してください。v0.17.0-slim とは異なるエディションをダウンロードするには、docker/.env ファイルの RAGFLOW_IMAGE 変数を適宜更新し、docker compose を使用してサーバーを起動してください。例えば、完全版 v0.17.0 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0 と設定します。
```bash
$ cd ragflow/docker
@ -154,9 +154,9 @@
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-slim | &approx;2 | ❌ | Stable release |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

10
README_ko.md
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@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -147,7 +147,7 @@
3. 미리 빌드된 Docker 이미지를 생성하고 서버를 시작하세요:
> 아래 명령어는 RAGFlow Docker 이미지의 v0.16.0-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.16.0-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.16.0을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0로 설정합니다.
> 아래 명령어는 RAGFlow Docker 이미지의 v0.17.0-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.17.0-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.17.0을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0로 설정합니다.
```bash
$ cd ragflow/docker
@ -155,9 +155,9 @@
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-slim | &approx;2 | ❌ | Stable release |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

10
README_pt_br.md
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@ -22,7 +22,7 @@
<img alt="Badge Estático" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Última%20Relese" alt="Última Versão">
@ -166,7 +166,7 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
3. Inicie o servidor usando as imagens Docker pré-compiladas:
> O comando abaixo baixa a edição `v0.16.0-slim` da imagem Docker do RAGFlow. Consulte a tabela a seguir para descrições de diferentes edições do RAGFlow. Para baixar uma edição do RAGFlow diferente da `v0.16.0-slim`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor. Por exemplo: defina `RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0` para a edição completa `v0.16.0`.
> O comando abaixo baixa a edição `v0.17.0-slim` da imagem Docker do RAGFlow. Consulte a tabela a seguir para descrições de diferentes edições do RAGFlow. Para baixar uma edição do RAGFlow diferente da `v0.17.0-slim`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor. Por exemplo: defina `RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0` para a edição completa `v0.17.0`.
```bash
$ cd ragflow/docker
@ -174,9 +174,9 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
```
| Tag da imagem RAGFlow | Tamanho da imagem (GB) | Possui modelos de incorporação? | Estável? |
|-----------------------|------------------------|---------------------------------|--------------------------|
| v0.16.0 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.16.0-slim | ~2 | ❌ | Lançamento estável |
| --------------------- | ---------------------- | ------------------------------- | ------------------------ |
| v0.17.0 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.17.0-slim | ~2 | ❌ | Lançamento estável |
| nightly | ~9 | :heavy_check_mark: | _Instável_ build noturno |
| nightly-slim | ~2 | ❌ | _Instável_ build noturno |

10
README_tzh.md
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@ -21,7 +21,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -145,7 +145,7 @@
3. 進入 **docker** 資料夾，利用事先編譯好的 Docker 映像啟動伺服器：
> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.16.0-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.16.0-slim` 的 Docker 映像，請在執行 `docker compose` 啟動服務之前先更新 **docker/.env** 檔案內的 `RAGFLOW_IMAGE` 變數。例如，你可以透過設定 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0` 來下載 RAGFlow 鏡像的 `v0.16.0` 完整發行版。
> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.17.0-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.17.0-slim` 的 Docker 映像，請在執行 `docker compose` 啟動服務之前先更新 **docker/.env** 檔案內的 `RAGFLOW_IMAGE` 變數。例如，你可以透過設定 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0` 來下載 RAGFlow 鏡像的 `v0.17.0` 完整發行版。
```bash
$ cd ragflow/docker
@ -153,9 +153,9 @@
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-slim | &approx;2 | ❌ | Stable release |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

10
README_zh.md
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@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -146,7 +146,7 @@
3. 进入 **docker** 文件夹，利用提前编译好的 Docker 镜像启动服务器：
> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.16.0-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.16.0-slim` 的 Docker 镜像，请在运行 `docker compose` 启动服务之前先更新 **docker/.env** 文件内的 `RAGFLOW_IMAGE` 变量。比如，你可以通过设置 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0` 来下载 RAGFlow 镜像的 `v0.16.0` 完整发行版。
> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.17.0-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.17.0-slim` 的 Docker 镜像，请在运行 `docker compose` 启动服务之前先更新 **docker/.env** 文件内的 `RAGFLOW_IMAGE` 变量。比如，你可以通过设置 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0` 来下载 RAGFlow 镜像的 `v0.17.0` 完整发行版。
```bash
$ cd ragflow/docker
@ -154,9 +154,9 @@
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-slim | &approx;2 | ❌ | Stable release |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

8
docker/.env
View File

@ -80,13 +80,13 @@ REDIS_PASSWORD=infini_rag_flow
SVR_HTTP_PORT=9380
# The RAGFlow Docker image to download.
# Defaults to the v0.16.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0-slim
# Defaults to the v0.17.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0-slim
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0
#
# The Docker image of the v0.16.0 edition includes:
# The Docker image of the v0.17.0 edition includes:
# - Built-in embedding models:
# - BAAI/bge-large-zh-v1.5
# - BAAI/bge-reranker-v2-m3

4
docker/README.md
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@ -78,8 +78,8 @@ The [.env](./.env) file contains important environment variables for Docker.
- `RAGFLOW-IMAGE`
The Docker image edition. Available editions:
- `infiniflow/ragflow:v0.16.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.16.0`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.17.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3`

4
docs/configurations.md
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@ -97,8 +97,8 @@ The [.env](https://github.com/infiniflow/ragflow/blob/main/docker/.env) file con
- `RAGFLOW-IMAGE`
The Docker image edition. Available editions:
- `infiniflow/ragflow:v0.16.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.16.0`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.17.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3`

2
docs/guides/configure_knowledge_base/configure_knowledge_base.md
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@ -128,7 +128,7 @@ RAGFlow uses multiple recall of both full-text search and vector search in its c
## Search for knowledge base
As of RAGFlow v0.16.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
As of RAGFlow v0.17.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
![search knowledge base](https://github.com/infiniflow/ragflow/assets/93570324/836ae94c-2438-42be-879e-c7ad2a59693e)

2
docs/guides/configure_knowledge_base/construct_knowledge_graph.md
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@ -13,7 +13,7 @@ To enhance multi-hop question-answering, RAGFlow adds a knowledge graph construc
![Image](https://github.com/user-attachments/assets/1ec21d8e-f255-4d65-9918-69b72dfa142b)
As of v0.16.0, RAGFlow supports constructing a knowledge graph on a knowledge base, allowing you to construct a *unified* graph across multiple files within your knowledge base. When a newly uploaded file starts parsing, the generated graph will automatically update.
As of v0.17.0, RAGFlow supports constructing a knowledge graph on a knowledge base, allowing you to construct a *unified* graph across multiple files within your knowledge base. When a newly uploaded file starts parsing, the generated graph will automatically update.
:::danger WARNING
Constructing a knowledge graph requires significant memory, computational resources, and tokens.

2
docs/guides/manage_files.md
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@ -81,4 +81,4 @@ 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 v0.16.0, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.17.0, bulk download is not supported, nor can you download an entire folder.

6
docs/guides/upgrade_ragflow.mdx
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@ -62,16 +62,16 @@ 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., `v0.16.0`:
2. Switch to the latest, officially published release, e.g., `v0.17.0`:
```bash
git checkout -f v0.16.0
git checkout -f v0.17.0
```
3. Update **ragflow/docker/.env** as follows:
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0
```
4. Update the RAGFlow image and restart RAGFlow:

10
docs/quickstart.mdx
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@ -39,7 +39,7 @@ 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 v0.16.0 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.
RAGFlow v0.17.0 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.
<Tabs
defaultValue="linux"
@ -179,13 +179,13 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
```bash
$ git clone https://github.com/infiniflow/ragflow.git
$ cd ragflow/docker
$ git checkout -f v0.16.0
$ git checkout -f v0.17.0
```
3. Use the pre-built Docker images and start up the server:
:::tip NOTE
The command below downloads the `v0.16.0-slim` edition of the RAGFlow Docker image. Refer to the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.16.0-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0` for the full edition `v0.16.0`.
The command below downloads the `v0.17.0-slim` edition of the RAGFlow Docker image. Refer to the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.17.0-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0` for the full edition `v0.17.0`.
:::
```bash
@ -198,8 +198,8 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
| RAGFlow image tag | Image size (GB) | Has embedding models and Python packages? | Stable? |
| ------------------- | --------------- | ----------------------------------------- | ------------------------ |
| `v0.16.0` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.16.0-slim` | &approx;2 | ❌ | Stable release |
| `v0.17.0` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.17.0-slim` | &approx;2 | ❌ | Stable release |
| `nightly` | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| `nightly-slim` | &approx;2 | ❌ | *Unstable* nightly build |

10
docs/references/faq.md
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@ -37,12 +37,12 @@ If you build RAGFlow from source, the version number is also in the system log:
/ _, _// ___ |/ /_/ // __/ / // /_/ /| |/ |/ /
/_/ |_|/_/ |_|\____//_/ /_/ \____/ |__/|__/
2025-02-18 10:10:43,835 INFO 1445658 RAGFlow version: v0.16.0-50-g6daae7f2 full
2025-02-18 10:10:43,835 INFO 1445658 RAGFlow version: v0.17.0-50-g6daae7f2 full
```
Where:
- `v0.16.0`: The officially published release.
- `v0.17.0`: The officially published release.
- `50`: The number of git commits since the official release.
- `g6daae7f2`: `g` is the prefix, and `6daae7f2` is the first seven characters of the current commit ID.
- `full`/`slim`: The RAGFlow edition.
@ -71,10 +71,10 @@ We officially support x86 CPU and nvidia GPU. While we also test RAGFlow on ARM6
### Which embedding models can be deployed locally?
RAGFlow offers two Docker image editions, `v0.16.0-slim` and `v0.16.0`:
RAGFlow offers two Docker image editions, `v0.17.0-slim` and `v0.17.0`:
- `infiniflow/ragflow:v0.16.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.16.0`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.17.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3`

8
helm/values.yaml
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@ -27,13 +27,13 @@ env:
REDIS_PASSWORD: infini_rag_flow_helm
# The RAGFlow Docker image to download.
# Defaults to the v0.16.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.16.0-slim
# Defaults to the v0.17.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.0-slim
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE: infiniflow/ragflow:v0.16.0
# RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.0
#
# The Docker image of the v0.16.0 edition includes:
# The Docker image of the v0.17.0 edition includes:
# - Built-in embedding models:
# - BAAI/bge-large-zh-v1.5
# - BAAI/bge-reranker-v2-m3

2
pyproject.toml
View File

@ -1,6 +1,6 @@
[project]
name = "ragflow"
version = "0.16.0"
version = "0.17.0"
description = "[RAGFlow](https://ragflow.io/) is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted data."
authors = [
{ name = "Zhichang Yu", email = "yuzhichang@gmail.com" }

2
sdk/python/pyproject.toml
View File

@ -1,6 +1,6 @@
[project]
name = "ragflow-sdk"
version = "0.16.0"
version = "0.17.0"
description = "Python client sdk of [RAGFlow](https://github.com/infiniflow/ragflow). RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding."
authors = [
{ name = "Zhichang Yu", email = "yuzhichang@gmail.com" }

198
sdk/python/uv.lock generated
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@ -4,127 +4,127 @@ requires-python = ">=3.10, <3.13"
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103
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