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Docs: update for v0.19.0 (#7823)

### What problem does this PR solve?

update for v0.19.0

### Type of change

- [x] Documentation Update
tags/v0.19.0
liu an 5 месяцев назад
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README.md Просмотреть файл

<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
</a> </a>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
> All Docker images are built for x86 platforms. We don't currently offer Docker images for ARM64. > 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. > 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 `v0.18.0-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.18.0-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:v0.18.0` for the full edition `v0.18.0`.
> The command below downloads the `v0.19.0-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.19.0-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:v0.19.0` for the full edition `v0.19.0`.


```bash ```bash
$ cd ragflow/docker $ cd ragflow/docker


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------| |-------------------|-----------------|-----------------------|--------------------------|
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| v0.19.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.19.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build | | nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |



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README_id.md Просмотреть файл

<img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
</a> </a>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Rilis%20Terbaru" alt="Rilis Terbaru">
> Semua gambar Docker dibangun untuk platform x86. Saat ini, kami tidak menawarkan gambar Docker untuk ARM64. > 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). > 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 v0.18.0-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.18.0-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0 untuk edisi lengkap v0.18.0.
> Perintah di bawah ini mengunduh edisi v0.19.0-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.19.0-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.0 untuk edisi lengkap v0.19.0.


```bash ```bash
$ cd ragflow/docker $ cd ragflow/docker


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ | | ----------------- | --------------- | --------------------- | ------------------------ |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| v0.19.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.19.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build | | nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |



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README_ja.md Просмотреть файл

<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
</a> </a>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
> 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。 > 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。 > 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 v0.18.0-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。v0.18.0-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 v0.18.0 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0 と設定します。
> 以下のコマンドは、RAGFlow Docker イメージの v0.19.0-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。v0.19.0-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 v0.19.0 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.0 と設定します。


```bash ```bash
$ cd ragflow/docker $ cd ragflow/docker


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ | | ----------------- | --------------- | --------------------- | ------------------------ |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| v0.19.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.19.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build | | nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |



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README_ko.md Просмотреть файл

<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
</a> </a>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
> 모든 Docker 이미지는 x86 플랫폼을 위해 빌드되었습니다. 우리는 현재 ARM64 플랫폼을 위한 Docker 이미지를 제공하지 않습니다. > 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). > 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 v0.18.0-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.18.0-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.18.0을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0로 설정합니다.
> 아래 명령어는 RAGFlow Docker 이미지의 v0.19.0-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.19.0-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.19.0을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.0로 설정합니다.


```bash ```bash
$ cd ragflow/docker $ cd ragflow/docker


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ | | ----------------- | --------------- | --------------------- | ------------------------ |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| v0.19.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.19.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build | | nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |



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README_pt_br.md Просмотреть файл

<img alt="Badge Estático" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Badge Estático" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
</a> </a>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Última%20Relese" alt="Última Versão">
> Todas as imagens Docker são construídas para plataformas x86. Atualmente, não oferecemos imagens Docker para ARM64. > 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. > 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 `v0.18.0-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 `v0.18.0-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:v0.18.0` para a edição completa `v0.18.0`.
> O comando abaixo baixa a edição `v0.19.0-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 `v0.19.0-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:v0.19.0` para a edição completa `v0.19.0`.


```bash ```bash
$ cd ragflow/docker $ cd ragflow/docker


| Tag da imagem RAGFlow | Tamanho da imagem (GB) | Possui modelos de incorporação? | Estável? | | Tag da imagem RAGFlow | Tamanho da imagem (GB) | Possui modelos de incorporação? | Estável? |
| --------------------- | ---------------------- | ------------------------------- | ------------------------ | | --------------------- | ---------------------- | ------------------------------- | ------------------------ |
| v0.18.0 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.18.0-slim | ~2 | ❌ | Lançamento estável |
| v0.19.0 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.19.0-slim | ~2 | ❌ | Lançamento estável |
| nightly | ~9 | :heavy_check_mark: | _Instável_ build noturno | | nightly | ~9 | :heavy_check_mark: | _Instável_ build noturno |
| nightly-slim | ~2 | ❌ | _Instável_ build noturno | | nightly-slim | ~2 | ❌ | _Instável_ build noturno |



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README_tzh.md Просмотреть файл

<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
</a> </a>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
> 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。 > 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。 > 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 `v0.18.0-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.18.0-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:v0.18.0` 來下載 RAGFlow 鏡像的 `v0.18.0` 完整發行版。
> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.19.0-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.19.0-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:v0.19.0` 來下載 RAGFlow 鏡像的 `v0.19.0` 完整發行版。


```bash ```bash
$ cd ragflow/docker $ cd ragflow/docker


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ | | ----------------- | --------------- | --------------------- | ------------------------ |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| v0.19.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.19.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build | | nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |



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README_zh.md Просмотреть файл

<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
</a> </a>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
> 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。 > 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。 > 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 `v0.18.0-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.18.0-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:v0.18.0` 来下载 RAGFlow 镜像的 `v0.18.0` 完整发行版。
> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.19.0-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.19.0-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:v0.19.0` 来下载 RAGFlow 镜像的 `v0.19.0` 完整发行版。


```bash ```bash
$ cd ragflow/docker $ cd ragflow/docker


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ | | ----------------- | --------------- | --------------------- | ------------------------ |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| v0.19.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.19.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build | | nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |



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docker/.env Просмотреть файл

SVR_HTTP_PORT=9380 SVR_HTTP_PORT=9380


# The RAGFlow Docker image to download. # The RAGFlow Docker image to download.
# Defaults to the v0.18.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0-slim
# Defaults to the v0.19.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.0-slim
# #
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead: # To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.0
# #
# The Docker image of the v0.18.0 edition includes built-in embedding models:
# The Docker image of the v0.19.0 edition includes built-in embedding models:
# - BAAI/bge-large-zh-v1.5 # - BAAI/bge-large-zh-v1.5
# - maidalun1020/bce-embedding-base_v1 # - maidalun1020/bce-embedding-base_v1
# #

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docker/README.md Просмотреть файл

- `RAGFLOW-IMAGE` - `RAGFLOW-IMAGE`
The Docker image edition. Available editions: The Docker image edition. Available editions:
- `infiniflow/ragflow:v0.18.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.18.0`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.19.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.19.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models: - Built-in embedding models:
- `BAAI/bge-large-zh-v1.5` - `BAAI/bge-large-zh-v1.5`
- `maidalun1020/bce-embedding-base_v1` - `maidalun1020/bce-embedding-base_v1`

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docs/configurations.md Просмотреть файл

- `RAGFLOW-IMAGE` - `RAGFLOW-IMAGE`
The Docker image edition. Available editions: The Docker image edition. Available editions:
- `infiniflow/ragflow:v0.18.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.18.0`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.19.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.19.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models: - Built-in embedding models:
- `BAAI/bge-large-zh-v1.5` - `BAAI/bge-large-zh-v1.5`
- `maidalun1020/bce-embedding-base_v1` - `maidalun1020/bce-embedding-base_v1`

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docs/develop/build_docker_image.mdx Просмотреть файл



1. Edit Docker Compose Configuration 1. Edit Docker Compose Configuration


Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.18.0-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:v0.19.0-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image.




2. Launch the Service 2. Launch the Service

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docs/faq.mdx Просмотреть файл



Each RAGFlow release is available in two editions: Each RAGFlow release is available in two editions:


- **Slim edition**: excludes built-in embedding models and is identified by a **-slim** suffix added to the version name. Example: `infiniflow/ragflow:v0.18.0-slim`
- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.18.0`
- **Slim edition**: excludes built-in embedding models and is identified by a **-slim** suffix added to the version name. Example: `infiniflow/ragflow:v0.19.0-slim`
- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.19.0`


--- ---


### Which embedding models can be deployed locally? ### Which embedding models can be deployed locally?


RAGFlow offers two Docker image editions, `v0.18.0-slim` and `v0.18.0`:
RAGFlow offers two Docker image editions, `v0.19.0-slim` and `v0.19.0`:
- `infiniflow/ragflow:v0.18.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.18.0`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.19.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.19.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models: - Built-in embedding models:
- `BAAI/bge-large-zh-v1.5` - `BAAI/bge-large-zh-v1.5`
- `maidalun1020/bce-embedding-base_v1` - `maidalun1020/bce-embedding-base_v1`

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docs/guides/chat/start_chat.md Просмотреть файл

- 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. - 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. - **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*. - If you are uncertain about the logic behind **Variable**, leave it *as-is*.
- As of v0.18.0, if you add custom variables here, the only way you can pass in their values is to call:
- As of v0.19.0, 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 - 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). - Python method [Converse with chat assistant](../../references/python_api_reference.md#converse-with-chat-assistant).



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docs/guides/dataset/configure_knowledge_base.md Просмотреть файл



## Search for knowledge base ## Search for knowledge base


As of RAGFlow v0.18.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
As of RAGFlow v0.19.0, 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) ![search knowledge base](https://github.com/infiniflow/ragflow/assets/93570324/836ae94c-2438-42be-879e-c7ad2a59693e)



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docs/guides/manage_files.md Просмотреть файл



![download_file](https://github.com/infiniflow/ragflow/assets/93570324/cf3b297f-7d9b-4522-bf5f-4f45743e4ed5) ![download_file](https://github.com/infiniflow/ragflow/assets/93570324/cf3b297f-7d9b-4522-bf5f-4f45743e4ed5)


> As of RAGFlow v0.18.0, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.19.0, bulk download is not supported, nor can you download an entire folder.

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docs/guides/tracing.mdx Просмотреть файл

Langfuse stores traces, spans and prompt payloads in a purpose-built observability backend and offers filtering and visualisations on top. Langfuse stores traces, spans and prompt payloads in a purpose-built observability backend and offers filtering and visualisations on top.


:::info NOTE :::info NOTE
• RAGFlow **≥ 0.18.0** (contains the Langfuse connector)
• RAGFlow **≥ 0.19.0** (contains the Langfuse connector)
• A Langfuse workspace (cloud or self-hosted) with a _Project Public Key_ and _Secret Key_ • A Langfuse workspace (cloud or self-hosted) with a _Project Public Key_ and _Secret Key_
::: :::



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docs/guides/upgrade_ragflow.mdx Просмотреть файл

git clone https://github.com/infiniflow/ragflow.git git clone https://github.com/infiniflow/ragflow.git
``` ```


2. Switch to the latest, officially published release, e.g., `v0.18.0`:
2. Switch to the latest, officially published release, e.g., `v0.19.0`:


```bash ```bash
git checkout -f v0.18.0
git checkout -f v0.19.0
``` ```


3. Update **ragflow/docker/.env** as follows: 3. Update **ragflow/docker/.env** as follows:


```bash ```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0
RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.0
``` ```


4. Update the RAGFlow image and restart RAGFlow: 4. Update the RAGFlow image and restart RAGFlow:
1. From an environment with Internet access, pull the required Docker image. 1. From an environment with Internet access, pull the required Docker image.
2. Save the Docker image to a **.tar** file. 2. Save the Docker image to a **.tar** file.
```bash ```bash
docker save -o ragflow.v0.18.0.tar infiniflow/ragflow:v0.18.0
docker save -o ragflow.v0.19.0.tar infiniflow/ragflow:v0.19.0
``` ```
3. Copy the **.tar** file to the target server. 3. Copy the **.tar** file to the target server.
4. Load the **.tar** file into Docker: 4. Load the **.tar** file into Docker:
```bash ```bash
docker load -i ragflow.v0.18.0.tar
docker load -i ragflow.v0.19.0.tar
``` ```

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docs/quickstart.mdx Просмотреть файл



`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. `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 v0.18.0 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 v0.19.0 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 <Tabs
defaultValue="linux" defaultValue="linux"
```bash ```bash
$ git clone https://github.com/infiniflow/ragflow.git $ git clone https://github.com/infiniflow/ragflow.git
$ cd ragflow/docker $ cd ragflow/docker
$ git checkout -f v0.18.0
$ git checkout -f v0.19.0
``` ```


3. Use the pre-built Docker images and start up the server: 3. Use the pre-built Docker images and start up the server:


:::tip NOTE :::tip NOTE
The command below downloads the `v0.18.0-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 `v0.18.0-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:v0.18.0` for the full edition `v0.18.0`.
The command below downloads the `v0.19.0-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 `v0.19.0-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:v0.19.0` for the full edition `v0.19.0`.
::: :::


```bash ```bash


| RAGFlow image tag | Image size (GB) | Has embedding models and Python packages?:collision: | Stable? | | RAGFlow image tag | Image size (GB) | Has embedding models and Python packages?:collision: | Stable? |
| ------------------- | --------------- | ----------------------------------------- | ------------------------ | | ------------------- | --------------- | ----------------------------------------- | ------------------------ |
| `v0.18.0` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.18.0-slim` | &approx;2 | ❌ | Stable release |
| `v0.19.0` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.19.0-slim` | &approx;2 | ❌ | Stable release |
| `nightly` | &approx;9 | :heavy_check_mark: | *Unstable* nightly build | | `nightly` | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| `nightly-slim` | &approx;2 | ❌ | *Unstable* nightly build | | `nightly-slim` | &approx;2 | ❌ | *Unstable* nightly build |


``` ```


:::danger IMPORTANT :::danger IMPORTANT
:collision: The embedding models included in `v0.18.0` and `nightly` are:
:collision: The embedding models included in `v0.19.0` and `nightly` are:


- BAAI/bge-large-zh-v1.5 - BAAI/bge-large-zh-v1.5
- maidalun1020/bce-embedding-base_v1 - maidalun1020/bce-embedding-base_v1

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docs/release_notes.md Просмотреть файл



:::info :::info
Each RAGFlow release is available in two editions: Each RAGFlow release is available in two editions:
- **Slim edition**: excludes built-in embedding models and is identified by a **-slim** suffix added to the version name. Example: `infiniflow/ragflow:v0.18.0-slim`
- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.18.0`
- **Slim edition**: excludes built-in embedding models and is identified by a **-slim** suffix added to the version name. Example: `infiniflow/ragflow:v0.19.0-slim`
- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.19.0`
::: :::


:::danger IMPORTANT :::danger IMPORTANT

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helm/values.yaml Просмотреть файл

REDIS_PASSWORD: infini_rag_flow_helm REDIS_PASSWORD: infini_rag_flow_helm


# The RAGFlow Docker image to download. # The RAGFlow Docker image to download.
# Defaults to the v0.18.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.18.0-slim
# Defaults to the v0.19.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.19.0-slim
# #
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead: # To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE: infiniflow/ragflow:v0.18.0
# RAGFLOW_IMAGE: infiniflow/ragflow:v0.19.0
# #
# The Docker image of the v0.18.0 edition includes:
# The Docker image of the v0.19.0 edition includes:
# - Built-in embedding models: # - Built-in embedding models:
# - BAAI/bge-large-zh-v1.5 # - BAAI/bge-large-zh-v1.5
# - BAAI/bge-reranker-v2-m3 # - BAAI/bge-reranker-v2-m3

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pyproject.toml Просмотреть файл

[project] [project]
name = "ragflow" name = "ragflow"
version = "0.18.0"
version = "0.19.0"
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." 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" }] authors = [{ name = "Zhichang Yu", email = "yuzhichang@gmail.com" }]
license-files = ["LICENSE"] license-files = ["LICENSE"]

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sdk/python/pyproject.toml Просмотреть файл

[project] [project]
name = "ragflow-sdk" name = "ragflow-sdk"
version = "0.18.0"
version = "0.19.0"
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." 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" }] authors = [{ name = "Zhichang Yu", email = "yuzhichang@gmail.com" }]
license = { text = "Apache License, Version 2.0" } license = { text = "Apache License, Version 2.0" }

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sdk/python/uv.lock Просмотреть файл



[[package]] [[package]]
name = "ragflow-sdk" name = "ragflow-sdk"
version = "0.18.0"
version = "0.19.0"
source = { virtual = "." } source = { virtual = "." }
dependencies = [ dependencies = [
{ name = "beartype" }, { name = "beartype" },

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uv.lock Просмотреть файл



[[package]] [[package]]
name = "ragflow" name = "ragflow"
version = "0.18.0"
version = "0.19.0"
source = { virtual = "." } source = { virtual = "." }
dependencies = [ dependencies = [
{ name = "akshare" }, { name = "akshare" },

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