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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
This commit is contained in:
liu an
Yingfeng Zhang
parent
c283ea57fd
commit
590b9dabab
@ -22,7 +22,7 @@
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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
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@ -178,7 +178,7 @@ releases! 🌟
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> All Docker images are built for x86 platforms. We don't currently offer Docker images for ARM64.
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> 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.
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> 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`.
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> 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`.
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```bash
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$ cd ragflow/docker
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@ -191,8 +191,8 @@ releases! 🌟
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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|-------------------|-----------------|-----------------------|--------------------------|
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| v0.18.0 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.18.0-slim | ≈2 | ❌ | Stable release |
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| v0.19.0 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.19.0-slim | ≈2 | ❌ | Stable release |
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| nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build |
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| nightly-slim | ≈2 | ❌ | _Unstable_ nightly build |
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@ -22,7 +22,7 @@
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<img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Rilis%20Terbaru" alt="Rilis Terbaru">
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@ -173,7 +173,7 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
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> Semua gambar Docker dibangun untuk platform x86. Saat ini, kami tidak menawarkan gambar Docker untuk ARM64.
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> 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).
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> 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.
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> 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.
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```bash
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$ cd ragflow/docker
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@ -186,8 +186,8 @@ $ docker compose -f docker-compose.yml up -d
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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| ----------------- | --------------- | --------------------- | ------------------------ |
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| v0.18.0 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.18.0-slim | ≈2 | ❌ | Stable release |
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| v0.19.0 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.19.0-slim | ≈2 | ❌ | Stable release |
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| nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build |
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| nightly-slim | ≈2 | ❌ | _Unstable_ nightly build |
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@ -22,7 +22,7 @@
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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
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@ -152,7 +152,7 @@
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> 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。
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> 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。
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> 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。
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> 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。
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```bash
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$ cd ragflow/docker
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@ -165,8 +165,8 @@
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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| ----------------- | --------------- | --------------------- | ------------------------ |
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| v0.18.0 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.18.0-slim | ≈2 | ❌ | Stable release |
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| v0.19.0 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.19.0-slim | ≈2 | ❌ | Stable release |
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| nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build |
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| nightly-slim | ≈2 | ❌ | _Unstable_ nightly build |
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@ -22,7 +22,7 @@
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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
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@ -152,7 +152,7 @@
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> 모든 Docker 이미지는 x86 플랫폼을 위해 빌드되었습니다. 우리는 현재 ARM64 플랫폼을 위한 Docker 이미지를 제공하지 않습니다.
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> ARM64 플랫폼을 사용 중이라면, [시스템과 호환되는 Docker 이미지를 빌드하려면 이 가이드를 사용해 주세요](https://ragflow.io/docs/dev/build_docker_image).
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> 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.
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> 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.
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```bash
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$ cd ragflow/docker
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@ -165,8 +165,8 @@
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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| ----------------- | --------------- | --------------------- | ------------------------ |
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| v0.18.0 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.18.0-slim | ≈2 | ❌ | Stable release |
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| v0.19.0 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.19.0-slim | ≈2 | ❌ | Stable release |
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| nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build |
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| nightly-slim | ≈2 | ❌ | _Unstable_ nightly build |
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@ -22,7 +22,7 @@
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<img alt="Badge Estático" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Última%20Relese" alt="Última Versão">
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@ -172,7 +172,7 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
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> Todas as imagens Docker são construídas para plataformas x86. Atualmente, não oferecemos imagens Docker para ARM64.
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> 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.
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> 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`.
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> 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`.
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```bash
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$ cd ragflow/docker
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@ -185,8 +185,8 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
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| Tag da imagem RAGFlow | Tamanho da imagem (GB) | Possui modelos de incorporação? | Estável? |
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| --------------------- | ---------------------- | ------------------------------- | ------------------------ |
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| v0.18.0 | ~9 | :heavy_check_mark: | Lançamento estável |
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| v0.18.0-slim | ~2 | ❌ | Lançamento estável |
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| v0.19.0 | ~9 | :heavy_check_mark: | Lançamento estável |
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| v0.19.0-slim | ~2 | ❌ | Lançamento estável |
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| nightly | ~9 | :heavy_check_mark: | _Instável_ build noturno |
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| nightly-slim | ~2 | ❌ | _Instável_ build noturno |
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@ -21,7 +21,7 @@
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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
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@ -151,7 +151,7 @@
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> 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。
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> 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。
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> 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。
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> 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。
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```bash
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$ cd ragflow/docker
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@ -164,8 +164,8 @@
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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| ----------------- | --------------- | --------------------- | ------------------------ |
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| v0.18.0 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.18.0-slim | ≈2 | ❌ | Stable release |
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| v0.19.0 | ≈9 | :heavy_check_mark: | Stable release |
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| v0.19.0-slim | ≈2 | ❌ | Stable release |
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| nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build |
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| nightly-slim | ≈2 | ❌ | _Unstable_ nightly build |
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@ -22,7 +22,7 @@
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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
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@ -152,7 +152,7 @@
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> 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。
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> 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。
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> 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
|
||||
$ cd ragflow/docker
|
||||
@ -165,8 +165,8 @@
|
||||
|
||||
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|
||||
| ----------------- | --------------- | --------------------- | ------------------------ |
|
||||
| v0.18.0 | ≈9 | :heavy_check_mark: | Stable release |
|
||||
| v0.18.0-slim | ≈2 | ❌ | Stable release |
|
||||
| v0.19.0 | ≈9 | :heavy_check_mark: | Stable release |
|
||||
| v0.19.0-slim | ≈2 | ❌ | Stable release |
|
||||
| nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build |
|
||||
| nightly-slim | ≈2 | ❌ | _Unstable_ nightly build |
|
||||
|
||||
|
||||
@ -91,13 +91,13 @@ REDIS_PASSWORD=infini_rag_flow
|
||||
SVR_HTTP_PORT=9380
|
||||
|
||||
# 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:
|
||||
# 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
|
||||
# - maidalun1020/bce-embedding-base_v1
|
||||
#
|
||||
|
||||
@ -78,8 +78,8 @@ The [.env](./.env) file contains important environment variables for Docker.
|
||||
- `RAGFLOW-IMAGE`
|
||||
The Docker image edition. Available editions:
|
||||
|
||||
- `infiniflow/ragflow:v0.18.0-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:
|
||||
- `BAAI/bge-large-zh-v1.5`
|
||||
- `maidalun1020/bce-embedding-base_v1`
|
||||
|
||||
@ -99,8 +99,8 @@ RAGFlow utilizes MinIO as its object storage solution, leveraging its scalabilit
|
||||
- `RAGFLOW-IMAGE`
|
||||
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:
|
||||
- `BAAI/bge-large-zh-v1.5`
|
||||
- `maidalun1020/bce-embedding-base_v1`
|
||||
|
||||
@ -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:v0.18.0-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
|
||||
|
||||
10
docs/faq.mdx
10
docs/faq.mdx
@ -30,17 +30,17 @@ The "garbage in garbage out" status quo remains unchanged despite the fact that
|
||||
|
||||
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?
|
||||
|
||||
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:
|
||||
- `BAAI/bge-large-zh-v1.5`
|
||||
- `maidalun1020/bce-embedding-base_v1`
|
||||
|
||||
@ -48,7 +48,7 @@ You start an AI conversation by creating an assistant.
|
||||
- If no target language is selected, the system will search only in the language of your query, which may cause relevant information in other languages to be missed.
|
||||
- **Variable** refers to the variables (keys) to be used in the system prompt. `{knowledge}` is a reserved variable. Click **Add** to add more variables for the system prompt.
|
||||
- If you are uncertain about the logic behind **Variable**, leave it *as-is*.
|
||||
- As of v0.18.0, 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
|
||||
- Python method [Converse with chat assistant](../../references/python_api_reference.md#converse-with-chat-assistant).
|
||||
|
||||
|
||||
@ -128,7 +128,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
|
||||
|
||||
## 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.
|
||||
|
||||
|
||||
|
||||
|
||||
@ -87,4 +87,4 @@ RAGFlow's file management allows you to download an uploaded file:
|
||||
|
||||
|
||||
|
||||
> 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.
|
||||
|
||||
@ -18,7 +18,7 @@ RAGFlow ships with a built-in [Langfuse](https://langfuse.com) integration so th
|
||||
Langfuse stores traces, spans and prompt payloads in a purpose-built observability backend and offers filtering and visualisations on top.
|
||||
|
||||
:::info NOTE
|
||||
• RAGFlow **≥ 0.18.0** (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_
|
||||
:::
|
||||
|
||||
|
||||
@ -66,16 +66,16 @@ 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., `v0.18.0`:
|
||||
2. Switch to the latest, officially published release, e.g., `v0.19.0`:
|
||||
|
||||
```bash
|
||||
git checkout -f v0.18.0
|
||||
git checkout -f v0.19.0
|
||||
```
|
||||
|
||||
3. Update **ragflow/docker/.env** as follows:
|
||||
|
||||
```bash
|
||||
RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0
|
||||
RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.0
|
||||
```
|
||||
|
||||
4. Update the RAGFlow image and restart RAGFlow:
|
||||
@ -92,10 +92,10 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
|
||||
1. From an environment with Internet access, pull the required Docker image.
|
||||
2. Save the Docker image to a **.tar** file.
|
||||
```bash
|
||||
docker save -o ragflow.v0.18.0.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.
|
||||
4. Load the **.tar** file into Docker:
|
||||
```bash
|
||||
docker load -i ragflow.v0.18.0.tar
|
||||
docker load -i ragflow.v0.19.0.tar
|
||||
```
|
||||
|
||||
@ -44,7 +44,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
|
||||
|
||||
`vm.max_map_count`. This value sets the maximum number of memory map areas a process may have. Its default value is 65530. While most applications require fewer than a thousand maps, reducing this value can result in abnormal behaviors, and the system will throw out-of-memory errors when a process reaches the limitation.
|
||||
|
||||
RAGFlow v0.18.0 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
|
||||
defaultValue="linux"
|
||||
@ -184,13 +184,13 @@ 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 v0.18.0
|
||||
$ git checkout -f v0.19.0
|
||||
```
|
||||
|
||||
3. Use the pre-built Docker images and start up the server:
|
||||
|
||||
:::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
|
||||
@ -207,8 +207,8 @@ 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?:collision: | Stable? |
|
||||
| ------------------- | --------------- | ----------------------------------------- | ------------------------ |
|
||||
| `v0.18.0` | ≈9 | :heavy_check_mark: | Stable release |
|
||||
| `v0.18.0-slim` | ≈2 | ❌ | Stable release |
|
||||
| `v0.19.0` | ≈9 | :heavy_check_mark: | Stable release |
|
||||
| `v0.19.0-slim` | ≈2 | ❌ | Stable release |
|
||||
| `nightly` | ≈9 | :heavy_check_mark: | *Unstable* nightly build |
|
||||
| `nightly-slim` | ≈2 | ❌ | *Unstable* nightly build |
|
||||
|
||||
@ -217,7 +217,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
|
||||
```
|
||||
|
||||
:::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
|
||||
- maidalun1020/bce-embedding-base_v1
|
||||
|
||||
@ -9,8 +9,8 @@ Key features, improvements and bug fixes in the latest releases.
|
||||
|
||||
:::info
|
||||
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
|
||||
|
||||
@ -27,13 +27,13 @@ env:
|
||||
REDIS_PASSWORD: infini_rag_flow_helm
|
||||
|
||||
# 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:
|
||||
# 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:
|
||||
# - BAAI/bge-large-zh-v1.5
|
||||
# - BAAI/bge-reranker-v2-m3
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
[project]
|
||||
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."
|
||||
authors = [{ name = "Zhichang Yu", email = "yuzhichang@gmail.com" }]
|
||||
license-files = ["LICENSE"]
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
[project]
|
||||
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."
|
||||
authors = [{ name = "Zhichang Yu", email = "yuzhichang@gmail.com" }]
|
||||
license = { text = "Apache License, Version 2.0" }
|
||||
|
||||
2
sdk/python/uv.lock
generated
2
sdk/python/uv.lock
generated
@ -342,7 +342,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "ragflow-sdk"
|
||||
version = "0.18.0"
|
||||
version = "0.19.0"
|
||||
source = { virtual = "." }
|
||||
dependencies = [
|
||||
{ name = "beartype" },
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user