diff --git a/README.md b/README.md index 65b1ddaa4..3f224315a 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.21.1 + docker pull infiniflow/ragflow:v0.22.0 Latest Release @@ -61,8 +61,7 @@ - 🔎 [System Architecture](#-system-architecture) - 🎬 [Get Started](#-get-started) - 🔧 [Configurations](#-configurations) -- 🔧 [Build a docker image without embedding models](#-build-a-docker-image-without-embedding-models) -- 🔧 [Build a docker image including embedding models](#-build-a-docker-image-including-embedding-models) +- 🔧 [Build a Docker image](#-build-a-docker-image) - 🔨 [Launch service from source for development](#-launch-service-from-source-for-development) - 📚 [Documentation](#-documentation) - 📜 [Roadmap](#-roadmap) @@ -189,25 +188,24 @@ 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 `v0.21.1-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.21.1-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. +> The command below downloads the `v0.22.0` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.22.0`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. ```bash $ cd ragflow/docker - # Optional: use a stable tag (see releases: https://github.com/infiniflow/ragflow/releases), e.g.: git checkout v0.21.1 + # Optional: use a stable tag (see releases: https://github.com/infiniflow/ragflow/releases), e.g.: git checkout v0.22.0 - # Use CPU for embedding and DeepDoc tasks: + # Use CPU for DeepDoc tasks: $ docker compose -f docker-compose.yml up -d - # To use GPU to accelerate embedding and DeepDoc tasks: + # To use GPU to accelerate DeepDoc tasks: # sed -i '1i DEVICE=gpu' .env # docker compose -f docker-compose.yml up -d ``` | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | -------------------------- | -| v0.21.1 | ≈9 | ✔️ | Stable release | -| v0.21.1-slim | ≈2 | ❌ | Stable release | +| v0.22.0 | ≈2 | ❌ | Stable release | | nightly | ≈2 | ❌ | _Unstable_ nightly build | > Note: Starting with `v0.22.0`, we ship only the slim edition and no longer append the **-slim** suffix to the image tag. @@ -291,7 +289,7 @@ RAGFlow uses Elasticsearch by default for storing full text and vectors. To swit > [!WARNING] > Switching to Infinity on a Linux/arm64 machine is not yet officially supported. -## 🔧 Build a Docker image without embedding models +## 🔧 Build a Docker image This image is approximately 2 GB in size and relies on external LLM and embedding services. diff --git a/README_id.md b/README_id.md index 94d0fddd9..0d3ac6be2 100644 --- a/README_id.md +++ b/README_id.md @@ -22,7 +22,7 @@ Lencana Daring - docker pull infiniflow/ragflow:v0.21.1 + docker pull infiniflow/ragflow:v0.22.0 Rilis Terbaru @@ -61,7 +61,7 @@ - 🔎 [Arsitektur Sistem](#-arsitektur-sistem) - 🎬 [Mulai](#-mulai) - 🔧 [Konfigurasi](#-konfigurasi) -- 🔧 [Membangun Image Docker tanpa Model Embedding](#-membangun-image-docker-tanpa-model-embedding) +- 🔧 [Membangun Image Docker](#-membangun-docker-image) - 🔧 [Membangun Image Docker dengan Model Embedding](#-membangun-image-docker-dengan-model-embedding) - 🔨 [Meluncurkan aplikasi dari Sumber untuk Pengembangan](#-meluncurkan-aplikasi-dari-sumber-untuk-pengembangan) - 📚 [Dokumentasi](#-dokumentasi) @@ -187,28 +187,27 @@ 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 v0.21.1 dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.21.1, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. +> Perintah di bawah ini mengunduh edisi v0.22.0 dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.22.0, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. ```bash $ cd ragflow/docker - # Opsional: gunakan tag stabil (lihat releases: https://github.com/infiniflow/ragflow/releases), contoh: git checkout v0.21.1 + # Opsional: gunakan tag stabil (lihat releases: https://github.com/infiniflow/ragflow/releases), contoh: git checkout v0.22.0 - # Use CPU for embedding and DeepDoc tasks: + # Use CPU for DeepDoc tasks: $ docker compose -f docker-compose.yml up -d - # To use GPU to accelerate embedding and DeepDoc tasks: + # To use GPU to accelerate DeepDoc tasks: # sed -i '1i DEVICE=gpu' .env # docker compose -f docker-compose.yml up -d ``` | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | -------------------------- | -| v0.21.1 | ≈9 | ✔️ | Stable release | -| v0.21.1-slim | ≈2 | ❌ | Stable release | +| v0.22.0 | ≈2 | ❌ | Stable release | | nightly | ≈2 | ❌ | _Unstable_ nightly build | -> Catatan: Mulai dari `v0.22.0`, kami hanya menyediakan edisi slim dan tidak lagi menambahkan akhiran **-slim** pada tag image. +> Catatan: Mulai dari `v0.22.0`, kami hanya merilis versi tanpa model embedding dan tidak lagi menambahkan akhiran **-slim** pada tag image. 1. Periksa status server setelah server aktif dan berjalan: @@ -263,7 +262,7 @@ Pembaruan konfigurasi ini memerlukan reboot semua kontainer agar efektif: > $ docker compose -f docker-compose.yml up -d > ``` -## 🔧 Membangun Docker Image tanpa Model Embedding +## 🔧 Membangun Docker Image Image ini berukuran sekitar 2 GB dan bergantung pada aplikasi LLM eksternal dan embedding. diff --git a/README_ja.md b/README_ja.md index b7d562c63..bff76852d 100644 --- a/README_ja.md +++ b/README_ja.md @@ -22,7 +22,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.21.1 + docker pull infiniflow/ragflow:v0.22.0 Latest Release @@ -166,33 +166,29 @@ > 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 v0.21.1 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。v0.21.1 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。 +> 以下のコマンドは、RAGFlow Docker イメージの v0.22.0 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。v0.22.0 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。 ```bash $ cd ragflow/docker - # 任意: 安定版タグを利用 (一覧: https://github.com/infiniflow/ragflow/releases) 例: git checkout v0.21.1 + # 任意: 安定版タグを利用 (一覧: https://github.com/infiniflow/ragflow/releases) 例: git checkout v0.22.0 - # Use CPU for embedding and DeepDoc tasks: + # Use CPU for DeepDoc tasks: $ docker compose -f docker-compose.yml up -d - # To use GPU to accelerate embedding and DeepDoc tasks: + # To use GPU to accelerate DeepDoc tasks: # sed -i '1i DEVICE=gpu' .env # docker compose -f docker-compose.yml up -d ``` - | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | -------------------------- | -| v0.21.1 | ≈9 | ✔️ | Stable release | -| v0.21.1-slim | ≈2 | ❌ | Stable release | +| v0.22.0 | ≈2 | ❌ | Stable release | | nightly | ≈2 | ❌ | _Unstable_ nightly build | -> 注意：`v0.22.0` 以降、当プロジェクトでは slim エディションのみを提供し、イメージタグに **-slim** サフィックスを付けなくなりました。 +> 注意：`v0.22.0` 以降、embedding モデルを含まないバージョンのみを提供し、イメージタグに **-slim** サフィックスを付けません。 -1. サーバーを立ち上げた後、サーバーの状態を確認する: - - ```bash + 1. サーバーを立ち上げた後、サーバーの状態を確認する: ```bash $ docker logs -f docker-ragflow-cpu-1 ``` @@ -263,7 +259,7 @@ RAGFlow はデフォルトで Elasticsearch を使用して全文とベクトル > Linux/arm64 マシンでの Infinity への切り替えは正式にサポートされていません。 > -## 🔧 ソースコードで Docker イメージを作成（埋め込みモデルなし） +## 🔧 ソースコードで Docker イメージを作成 この Docker イメージのサイズは約 1GB で、外部の大モデルと埋め込みサービスに依存しています。 diff --git a/README_ko.md b/README_ko.md index 14834067e..9a2996d60 100644 --- a/README_ko.md +++ b/README_ko.md @@ -22,7 +22,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.21.1 + docker pull infiniflow/ragflow:v0.22.0 Latest Release @@ -168,28 +168,27 @@ > 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 v0.21.1 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.21.1과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. + > 아래 명령어는 RAGFlow Docker 이미지의 v0.22.0 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.22.0과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. ```bash $ cd ragflow/docker - # Optional: use a stable tag (see releases: https://github.com/infiniflow/ragflow/releases), e.g.: git checkout v0.21.1 + # Optional: use a stable tag (see releases: https://github.com/infiniflow/ragflow/releases), e.g.: git checkout v0.22.0 - # Use CPU for embedding and DeepDoc tasks: + # Use CPU for DeepDoc tasks: $ docker compose -f docker-compose.yml up -d - # To use GPU to accelerate embedding and DeepDoc tasks: + # To use GPU to accelerate DeepDoc tasks: # sed -i '1i DEVICE=gpu' .env # docker compose -f docker-compose.yml up -d - ``` +``` | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | ------------------------ | - | v0.21.1 | ≈9 | ✔️ | Stable release | - | v0.21.1-slim | ≈2 | ❌ | Stable release | + | v0.22.0 | ≈2 | ❌ | Stable release | | nightly | ≈2 | ❌ | _Unstable_ nightly build | - > 참고: `v0.22.0`부터는 slim 에디션만 배포하며 이미지 태그에 **-slim** 접미사를 더 이상 붙이지 않습니다. + > 참고: `v0.22.0`부터 embedding 모델이 포함되지 않은 버전만 배포하며 이미지 태그에 **-slim** 접미사를 더 이상 추가하지 않습니다. 1. 서버가 시작된 후 서버 상태를 확인하세요: @@ -256,7 +255,7 @@ RAGFlow 는 기본적으로 Elasticsearch 를 사용하여 전체 텍스트 및 > [!WARNING] > Linux/arm64 시스템에서 Infinity로 전환하는 것은 공식적으로 지원되지 않습니다. -## 🔧 소스 코드로 Docker 이미지를 컴파일합니다(임베딩 모델 포함하지 않음) +## 🔧 소스 코드로 Docker 이미지를 컴파일합니다 이 Docker 이미지의 크기는 약 1GB이며, 외부 대형 모델과 임베딩 서비스에 의존합니다. diff --git a/README_pt_br.md b/README_pt_br.md index 7e2775d2d..71163d9c5 100644 --- a/README_pt_br.md +++ b/README_pt_br.md @@ -22,7 +22,7 @@ Badge Estático - docker pull infiniflow/ragflow:v0.21.1 + docker pull infiniflow/ragflow:v0.22.0 Última Versão @@ -186,30 +186,29 @@ 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`v0.21.1` 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 `v0.21.1`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor. + > O comando abaixo baixa a edição`v0.22.0` 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 `v0.22.0`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor. ```bash $ cd ragflow/docker - # Opcional: use uma tag estável (veja releases: https://github.com/infiniflow/ragflow/releases), ex.: git checkout v0.21.1 + # Opcional: use uma tag estável (veja releases: https://github.com/infiniflow/ragflow/releases), ex.: git checkout v0.22.0 - # Use CPU for embedding and DeepDoc tasks: + # Use CPU for DeepDoc tasks: $ docker compose -f docker-compose.yml up -d - # To use GPU to accelerate embedding and DeepDoc tasks: + # To use GPU to accelerate DeepDoc tasks: # sed -i '1i DEVICE=gpu' .env # docker compose -f docker-compose.yml up -d ``` -| Tag da imagem RAGFlow | Tamanho da imagem (GB) | Possui modelos de incorporação? | Estável? | -| --------------------- | ---------------------- | --------------------------------- | ------------------------------ | -| v0.21.1 | ≈9 | ✔️ | Lançamento estável | -| v0.21.1-slim | ≈2 | ❌ | Lançamento estável | -| nightly | ≈2 | ❌ | Construção noturna instável | + | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | + | ----------------- | --------------- | --------------------- | ------------------------ | + | v0.22.0 | ≈2 | ❌ | Stable release | + | nightly | ≈2 | ❌ | _Unstable_ nightly build | - > Observação: A partir da`v0.22.0`, distribuímos apenas a edição slim e não adicionamos mais o sufixo **-slim** às tags das imagens. + > Nota: A partir da `v0.22.0`, distribuímos apenas versões sem modelos de embedding e não adicionamos mais o sufixo **-slim** à tag da imagem. -4. Verifique o status do servidor após tê-lo iniciado: + > [!TIP]4. Verifique o status do servidor após tê-lo iniciado: ```bash $ docker logs -f docker-ragflow-cpu-1 @@ -277,13 +276,11 @@ O RAGFlow usa o Elasticsearch por padrão para armazenar texto completo e vetore ``` > [!ATENÇÃO] -> A mudança para o Infinity em uma máquina Linux/arm64 ainda não é oficialmente suportada. + > A mudança para o Infinity em uma máquina Linux/arm64 ainda não é oficialmente suportada. -## 🔧 Criar uma imagem Docker sem modelos de incorporação +## 🔧 Criar uma imagem Docker -Esta imagem tem cerca de 2 GB de tamanho e depende de serviços externos de LLM e incorporação. - -```bash +Esta imagem tem cerca de 2 GB de tamanho e depende de serviços externos de LLM e incorporação.```bash git clone https://github.com/infiniflow/ragflow.git cd ragflow/ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly . diff --git a/README_tzh.md b/README_tzh.md index c51af2895..d61eb798f 100644 --- a/README_tzh.md +++ b/README_tzh.md @@ -22,7 +22,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.21.1 + docker pull infiniflow/ragflow:v0.22.0 Latest Release @@ -185,26 +185,25 @@ > 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 `v0.21.1`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.21.1` 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。 +> 執行以下指令會自動下載 RAGFlow Docker 映像 `v0.22.0`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.22.0` 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。 ```bash $ cd ragflow/docker - # 可選：使用穩定版標籤（查看發佈：https://github.com/infiniflow/ragflow/releases），例：git checkout v0.21.1 + # 可選：使用穩定版標籤（查看發佈：https://github.com/infiniflow/ragflow/releases），例：git checkout v0.22.0 - # Use CPU for embedding and DeepDoc tasks: + # Use CPU for DeepDoc tasks: $ docker compose -f docker-compose.yml up -d - # To use GPU to accelerate embedding and DeepDoc tasks: + # To use GPU to accelerate DeepDoc tasks: # sed -i '1i DEVICE=gpu' .env # docker compose -f docker-compose.yml up -d ``` | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | -------------------------- | -| v0.21.1 | ≈9 | ✔️ | Stable release | -| v0.21.1-slim | ≈2 | ❌ | Stable release | -| nightly | ≈2 | ❌ | _Unstable_ nightly build | + | v0.22.0 | ≈2 | ❌ | Stable release | + | nightly | ≈2 | ❌ | _Unstable_ nightly build | > 注意：自 `v0.22.0` 起，我們僅發佈 slim 版本，並且不再在映像標籤後附加 **-slim** 後綴。 @@ -288,7 +287,7 @@ RAGFlow 預設使用 Elasticsearch 儲存文字和向量資料. 如果要切換 > [!WARNING] > Infinity 目前官方並未正式支援在 Linux/arm64 架構下的機器上運行. -## 🔧 原始碼編譯 Docker 映像（不含 embedding 模型） +## 🔧 原始碼編譯 Docker 映像 本 Docker 映像大小約 2 GB 左右並且依賴外部的大模型和 embedding 服務。 diff --git a/README_zh.md b/README_zh.md index 6ee8c54d3..ba888ccfa 100644 --- a/README_zh.md +++ b/README_zh.md @@ -22,7 +22,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.21.2 + docker pull infiniflow/ragflow:v0.21.1 Latest Release @@ -186,14 +186,14 @@ > 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 Docker 镜像 `v0.22.0`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.22.0` 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。 + > 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.21.1`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.21.1` 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。 ```bash $ cd ragflow/docker - # 可选：使用稳定版本标签（查看发布：https://github.com/infiniflow/ragflow/releases），例如：git checkout v0.22.0 + # 可选：使用稳定版本标签（查看发布：https://github.com/infiniflow/ragflow/releases），例如：git checkout v0.21.1 - # Use CPU for DeepDoc tasks: + # Use CPU for embedding and DeepDoc tasks: $ docker compose -f docker-compose.yml up -d # To use GPU to accelerate DeepDoc tasks: @@ -201,14 +201,12 @@ # docker compose -f docker-compose.yml up -d ``` - > 注意：在 `v0.22.0` 之前的版本，我们会同时提供包含 embedding 模型的镜像和不含 embedding 模型的 slim 镜像。具体如下： - | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | ------------------------ | - | v0.21.1 | ≈9 | ✔️ | Stable release | - | v0.21.1-slim | ≈2 | ❌ | Stable release | - - > 从 `v0.22.0` 开始，我们只发布 slim 版本，并且不再在镜像标签后附加 **-slim** 后缀。 + | v0.22.0 | ≈2 | ❌ | Stable release | + | nightly | ≈2 | ❌ | _Unstable_ nightly build | + + > 注意：从 `v0.22.0` 开始，我们只发布 slim 版本，并且不再在镜像标签后附加 **-slim** 后缀。 > [!TIP] > 如果你遇到 Docker 镜像拉不下来的问题，可以在 **docker/.env** 文件内根据变量 `RAGFLOW_IMAGE` 的注释提示选择华为云或者阿里云的相应镜像。 @@ -288,7 +286,7 @@ RAGFlow 默认使用 Elasticsearch 存储文本和向量数据. 如果要切换 > [!WARNING] > Infinity 目前官方并未正式支持在 Linux/arm64 架构下的机器上运行. -## 🔧 源码编译 Docker 镜像 +## 🔧 源码编译 Docker 镜像（不含 embedding 模型） 本 Docker 镜像大小约 2 GB 左右并且依赖外部的大模型和 embedding 服务。