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DOCS: for release. (#6023)

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### Type of change

- [x] Documentation Update
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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:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
</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">
@ -178,7 +178,7 @@ releases! 🌟
> All Docker images are built for x86 platforms. We don't currently offer Docker images for ARM64.
> If you are on an ARM64 platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a Docker image compatible with your system.
> The command below downloads the `v0.17.1-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.17.1-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:v0.17.1` for the full edition `v0.17.1`.
> The command below downloads the `v0.17.2-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.17.2-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:v0.17.2` for the full edition `v0.17.2`.
```bash
$ cd ragflow/docker
@ -187,8 +187,8 @@ releases! 🌟
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.17.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.1-slim | &approx;2 | ❌ | Stable release |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

8
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:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
</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">
@ -171,7 +171,7 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
> Semua gambar Docker dibangun untuk platform x86. Saat ini, kami tidak menawarkan gambar Docker untuk ARM64.
> Jika Anda menggunakan platform ARM64, [silakan gunakan panduan ini untuk membangun gambar Docker yang kompatibel dengan sistem Anda](https://ragflow.io/docs/dev/build_docker_image).
> Perintah di bawah ini mengunduh edisi v0.17.1-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.17.1-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1 untuk edisi lengkap v0.17.1.
> Perintah di bawah ini mengunduh edisi v0.17.2-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.17.2-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2 untuk edisi lengkap v0.17.2.
```bash
$ cd ragflow/docker
@ -180,8 +180,8 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.1-slim | &approx;2 | ❌ | Stable release |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

8
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:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
</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">
@ -151,7 +151,7 @@
> 現在、公式に提供されているすべての Docker イメージは x86 アーキテクチャ向けにビルドされており、ARM64 用の Docker イメージは提供されていません。
> ARM64 アーキテクチャのオペレーティングシステムを使用している場合は、[このドキュメント](https://ragflow.io/docs/dev/build_docker_image)を参照して Docker イメージを自分でビルドしてください。
> 以下のコマンドは、RAGFlow Docker イメージの v0.17.1-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。v0.17.1-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 v0.17.1 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1 と設定します。
> 以下のコマンドは、RAGFlow Docker イメージの v0.17.2-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。v0.17.2-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 v0.17.2 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2 と設定します。
```bash
$ cd ragflow/docker
@ -160,8 +160,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.1-slim | &approx;2 | ❌ | Stable release |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

8
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:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
</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">
@ -152,7 +152,7 @@
> 모든 Docker 이미지는 x86 플랫폼을 위해 빌드되었습니다. 우리는 현재 ARM64 플랫폼을 위한 Docker 이미지를 제공하지 않습니다.
> ARM64 플랫폼을 사용 중이라면, [시스템과 호환되는 Docker 이미지를 빌드하려면 이 가이드를 사용해 주세요](https://ragflow.io/docs/dev/build_docker_image).
> 아래 명령어는 RAGFlow Docker 이미지의 v0.17.1-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.17.1-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.17.1을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1로 설정합니다.
> 아래 명령어는 RAGFlow Docker 이미지의 v0.17.2-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.17.2-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.17.2을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2로 설정합니다.
```bash
$ cd ragflow/docker
@ -161,8 +161,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.1-slim | &approx;2 | ❌ | Stable release |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

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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:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
</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">
@ -171,7 +171,7 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
> Todas as imagens Docker são construídas para plataformas x86. Atualmente, não oferecemos imagens Docker para ARM64.
> Se você estiver usando uma plataforma ARM64, por favor, utilize [este guia](https://ragflow.io/docs/dev/build_docker_image) para construir uma imagem Docker compatível com o seu sistema.
> O comando abaixo baixa a edição `v0.17.1-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 `v0.17.1-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:v0.17.1` para a edição completa `v0.17.1`.
> O comando abaixo baixa a edição `v0.17.2-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 `v0.17.2-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:v0.17.2` para a edição completa `v0.17.2`.
```bash
$ cd ragflow/docker
@ -180,8 +180,8 @@ 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? |
| --------------------- | ---------------------- | ------------------------------- | ------------------------ |
| v0.17.1 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.17.1-slim | ~2 | ❌ | Lançamento estável |
| v0.17.2 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.17.2-slim | ~2 | ❌ | Lançamento estável |
| nightly | ~9 | :heavy_check_mark: | _Instável_ build noturno |
| nightly-slim | ~2 | ❌ | _Instável_ build noturno |

8
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:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
</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">
@ -150,7 +150,7 @@
> 所有 Docker 映像檔都是為 x86 平台建置的。目前，我們不提供 ARM64 平台的 Docker 映像檔。
> 如果您使用的是 ARM64 平台，請使用 [這份指南](https://ragflow.io/docs/dev/build_docker_image) 來建置適合您系統的 Docker 映像檔。
> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.17.1-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.17.1-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:v0.17.1` 來下載 RAGFlow 鏡像的 `v0.17.1` 完整發行版。
> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.17.2-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.17.2-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:v0.17.2` 來下載 RAGFlow 鏡像的 `v0.17.2` 完整發行版。
```bash
$ cd ragflow/docker
@ -159,8 +159,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.1-slim | &approx;2 | ❌ | Stable release |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

8
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:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
</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">
@ -151,7 +151,7 @@
> 请注意，目前官方提供的所有 Docker 镜像均基于 x86 架构构建，并不提供基于 ARM64 的 Docker 镜像。
> 如果你的操作系统是 ARM64 架构，请参考[这篇文档](https://ragflow.io/docs/dev/build_docker_image)自行构建 Docker 镜像。
> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.17.1-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.17.1-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:v0.17.1` 来下载 RAGFlow 镜像的 `v0.17.1` 完整发行版。
> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.17.2-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.17.2-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:v0.17.2` 来下载 RAGFlow 镜像的 `v0.17.2` 完整发行版。
```bash
$ cd ragflow/docker
@ -160,8 +160,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.1-slim | &approx;2 | ❌ | Stable release |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

8
docker/.env
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@ -80,13 +80,13 @@ REDIS_PASSWORD=infini_rag_flow
SVR_HTTP_PORT=9380
# The RAGFlow Docker image to download.
# Defaults to the v0.17.1-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1-slim
# Defaults to the v0.17.2-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2-slim
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2
#
# The Docker image of the v0.17.1 edition includes:
# The Docker image of the v0.17.2 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:v0.17.1-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.1`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.17.2-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.2`: 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:v0.17.1-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.1`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.17.2-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.2`: 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/develop/build_docker_image.mdx
View File

@ -77,7 +77,7 @@ After building the infiniflow/ragflow:nightly-slim image, you are ready to launc
1. Edit Docker Compose Configuration
Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.17.1-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image.
Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.17.2-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image.
2. Launch the Service

6
docs/faq.md
View File

@ -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, `v0.17.1-slim` and `v0.17.1`:
RAGFlow offers two Docker image editions, `v0.17.2-slim` and `v0.17.2`:
- `infiniflow/ragflow:v0.17.1-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.1`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.17.2-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.2`: 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/dataset/configure_knowledge_base.md
View File

@ -130,7 +130,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
## Search for knowledge base
As of RAGFlow v0.17.1, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
As of RAGFlow v0.17.2, 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/manage_files.md
View File

@ -85,4 +85,4 @@ 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 v0.17.1, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.17.2, bulk download is not supported, nor can you download an entire folder.

6
docs/guides/upgrade_ragflow.mdx
View File

@ -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., `v0.17.1`:
2. Switch to the latest, officially published release, e.g., `v0.17.2`:
```bash
git checkout -f v0.17.1
git checkout -f v0.17.2
```
3. Update **ragflow/docker/.env** as follows:
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2
```
4. Update the RAGFlow image and restart RAGFlow:

10
docs/quickstart.mdx
View File

@ -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 v0.17.1 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 v0.17.2 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 v0.17.1
$ git checkout -f v0.17.2
```
3. Use the pre-built Docker images and start up the server:
:::tip NOTE
The command below downloads the `v0.17.1-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 `v0.17.1-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:v0.17.1` for the full edition `v0.17.1`.
The command below downloads the `v0.17.2-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 `v0.17.2-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:v0.17.2` for the full edition `v0.17.2`.
:::
```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? |
| ------------------- | --------------- | ----------------------------------------- | ------------------------ |
| `v0.17.1` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.17.1-slim` | &approx;2 | ❌ | Stable release |
| `v0.17.2` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.17.2-slim` | &approx;2 | ❌ | Stable release |
| `nightly` | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| `nightly-slim` | &approx;2 | ❌ | *Unstable* nightly build |

8
helm/values.yaml
View File

@ -27,13 +27,13 @@ env:
REDIS_PASSWORD: infini_rag_flow_helm
# The RAGFlow Docker image to download.
# Defaults to the v0.17.1-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.1-slim
# Defaults to the v0.17.2-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.2-slim
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.1
# RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.2
#
# The Docker image of the v0.17.1 edition includes:
# The Docker image of the v0.17.2 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 = "0.17.1"
version = "0.17.2"
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 = "0.17.1"
version = "0.17.2"
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" }

4
sdk/python/uv.lock generated
View File

@ -1,5 +1,4 @@
version = 1
revision = 1
requires-python = ">=3.10, <3.13"
[[package]]
@ -312,7 +311,7 @@ wheels = [
[[package]]
name = "ragflow-sdk"
version = "0.17.1"
version = "0.17.2"
source = { virtual = "." }
dependencies = [
{ name = "beartype" },
@ -344,7 +343,6 @@ requires-dist = [
{ name = "requests", specifier = ">=2.30.0,<3.0.0" },
{ name = "requests-toolbelt", specifier = ">=1.0.0" },
]
provides-extras = ["test"]
[[package]]
name = "reportlab"

38
uv.lock generated
View File

@ -14,7 +14,7 @@ resolution-markers = [
[[package]]
name = "accelerate"
version = "1.4.0"
version = "1.5.1"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
dependencies = [
{ name = "huggingface-hub" },
@ -25,18 +25,18 @@ dependencies = [
{ name = "safetensors" },
{ name = "torch" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/8f/02/24a4c4edb9cf0f1e0bc32bb6829e2138f1cc201442e7a24f0daf93b8a15a/accelerate-1.4.0.tar.gz", hash = "sha256:37d413e1b64cb8681ccd2908ae211cf73e13e6e636a2f598a96eccaa538773a5" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/64/fb/10daafb0efbb1af95d782c9907004bd50fcfd74d6e11e6a91945df37768e/accelerate-1.5.1.tar.gz", hash = "sha256:5d936faf3a31894c6160f2f2a984a38aecbba760ef919ae298b2ecd57ea9bf87" }
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/0a/f6/791b9d7eb371a2f385da3b7f1769ced72ead7bf09744637ea2985c83d7ee/accelerate-1.4.0-py3-none-any.whl", hash = "sha256:f6e1e7dfaf9d799a20a1dc45efbf4b1546163eac133faa5acd0d89177c896e55" },
{ url = "https://mirrors.aliyun.com/pypi/packages/4b/ef/2723a3c53d06619dac38c1630bac3d9b7aec91e1a18a82a08b93696b8baf/accelerate-1.5.1-py3-none-any.whl", hash = "sha256:4838cff9ed1bb0ddc9d967530ced62a1d74ea21cdb57688400359ab32682f03e" },
]
[[package]]
name = "aiohappyeyeballs"
version = "2.5.0"
version = "2.6.1"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/a2/0c/458958007041f4b4de2d307e6b75d9e7554dad0baf26fe7a48b741aac126/aiohappyeyeballs-2.5.0.tar.gz", hash = "sha256:18fde6204a76deeabc97c48bdd01d5801cfda5d6b9c8bbeb1aaaee9d648ca191" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558" }
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/1b/9a/e4886864ce06e1579bd428208127fbdc0d62049c751e4e9e3b509c0059dc/aiohappyeyeballs-2.5.0-py3-none-any.whl", hash = "sha256:0850b580748c7071db98bffff6d4c94028d0d3035acc20fd721a0ce7e8cac35d" },
{ url = "https://mirrors.aliyun.com/pypi/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8" },
]
[[package]]
@ -149,7 +149,7 @@ wheels = [
[[package]]
name = "akshare"
version = "1.16.42"
version = "1.16.44"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
dependencies = [
{ name = "akracer", marker = "sys_platform == 'linux'" },
@ -168,9 +168,9 @@ dependencies = [
{ name = "urllib3" },
{ name = "xlrd" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/59/86/2571a0ea70a352e55100cabc3c2eb46708c78d1721693f2c708a96d9ab4c/akshare-1.16.42.tar.gz", hash = "sha256:e69fb98dbeaedd287002ed79963279ad17502cb463c7d8fa8b8692d215fcc80f" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/23/39/d431fcc82ec60a48f0e658d6ef5d7e8d08a7b948435da2d40185a4f84841/akshare-1.16.44.tar.gz", hash = "sha256:11cdb794bcf349b1aea208b9f0f697642b387947617a00f61eac674520a4040d" }
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/3b/e7/b1a3e515f34de3416ba4e96adba8697c12b8b8fd74aa1a7bd505dd450f57/akshare-1.16.42-py3-none-any.whl", hash = "sha256:154374adb01b030ed9baed992d836887858154fbec42db7885d818119d081a71" },
{ url = "https://mirrors.aliyun.com/pypi/packages/ce/67/93d2f437da14c20ef04d63de7815a1171727037d173ca364323ebdbdb2a4/akshare-1.16.44-py3-none-any.whl", hash = "sha256:f22af3ab0ef85143444880f93fd62b89eb62ee1945f3cfb02cc66e44d4cfcff2" },
]
[[package]]
@ -327,11 +327,11 @@ wheels = [
[[package]]
name = "attrs"
version = "25.1.0"
version = "25.2.0"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/49/7c/fdf464bcc51d23881d110abd74b512a42b3d5d376a55a831b44c603ae17f/attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/69/82/3c4e1d44f3cbaa2a578127d641fe385ba3bff6c38b789447ae11a21fa413/attrs-25.2.0.tar.gz", hash = "sha256:18a06db706db43ac232cce80443fcd9f2500702059ecf53489e3c5a3f417acaf" }
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/fc/30/d4986a882011f9df997a55e6becd864812ccfcd821d64aac8570ee39f719/attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a" },
{ url = "https://mirrors.aliyun.com/pypi/packages/03/33/7a7388b9ef94aab40539939d94461ec682afbd895458945ed25be07f03f6/attrs-25.2.0-py3-none-any.whl", hash = "sha256:611344ff0a5fed735d86d7784610c84f8126b95e549bcad9ff61b4242f2d386b" },
]
[[package]]
@ -1733,7 +1733,7 @@ grpc = [
[[package]]
name = "google-api-python-client"
version = "2.163.0"
version = "2.164.0"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
dependencies = [
{ name = "google-api-core" },
@ -1742,9 +1742,9 @@ dependencies = [
{ name = "httplib2" },
{ name = "uritemplate" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/29/9f/535346bb1469ec91139c38f0438ad70bd229a6b11452367065fe49303860/google_api_python_client-2.163.0.tar.gz", hash = "sha256:88dee87553a2d82176e2224648bf89272d536c8f04dcdda37ef0a71473886dd7" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/32/5b/4ed16fac5ef6928d0c1ca0fba42f27e73938f04729ef97e63d7a7bb5fd6d/google_api_python_client-2.164.0.tar.gz", hash = "sha256:116f5a05dfb95ed7f7ea0d0f561fc5464146709c583226cc814690f9bb221492" }
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/91/3d/203d1c18cb239313ac125721f284e94c01c7eee947adb2ef2d9a85ac8d66/google_api_python_client-2.163.0-py2.py3-none-any.whl", hash = "sha256:080e8bc0669cb4c1fb8efb8da2f5b91a2625d8f0e7796cfad978f33f7016c6c4" },
{ url = "https://mirrors.aliyun.com/pypi/packages/94/0d/4eacf5bff40a42e6be3086b85164f0624fee9724c11bb2c79305fbc2f355/google_api_python_client-2.164.0-py2.py3-none-any.whl", hash = "sha256:b2037c3d280793c8d5180b04317b16be4acd5f77af5dfa7213ace32d140a9ffe" },
]
[[package]]
@ -3068,16 +3068,16 @@ wheels = [
[[package]]
name = "msal"
version = "1.31.1"
version = "1.32.0"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
dependencies = [
{ name = "cryptography" },
{ name = "pyjwt", extra = ["crypto"] },
{ name = "requests" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/3f/f3/cdf2681e83a73c3355883c2884b6ff2f2d2aadfc399c28e9ac4edc3994fd/msal-1.31.1.tar.gz", hash = "sha256:11b5e6a3f802ffd3a72107203e20c4eac6ef53401961b880af2835b723d80578" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/aa/5f/ef42ef25fba682e83a8ee326a1a788e60c25affb58d014495349e37bce50/msal-1.32.0.tar.gz", hash = "sha256:5445fe3af1da6be484991a7ab32eaa82461dc2347de105b76af92c610c3335c2" }
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/30/7c/489cd931a752d05753d730e848039f08f65f86237cf1b8724d0a1cbd700b/msal-1.31.1-py3-none-any.whl", hash = "sha256:29d9882de247e96db01386496d59f29035e5e841bcac892e6d7bf4390bf6bd17" },
{ url = "https://mirrors.aliyun.com/pypi/packages/93/5a/2e663ef56a5d89eba962941b267ebe5be8c5ea340a9929d286e2f5fac505/msal-1.32.0-py3-none-any.whl", hash = "sha256:9dbac5384a10bbbf4dae5c7ea0d707d14e087b92c5aa4954b3feaa2d1aa0bcb7" },
]
[[package]]
@ -4716,7 +4716,7 @@ wheels = [
[[package]]
name = "ragflow"
version = "0.17.1"
version = "0.17.2"
source = { virtual = "." }
dependencies = [
{ name = "akshare" },