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* main: (53 commits) Use array syntax for commands in docker-compose-base.yml (infiniflow#11391) Feature (canvas): Add mind tagging support (infiniflow#11359) locale en add russian language option (infiniflow#11392) Locale: update russian language (infiniflow#11393) Feat: Add TCADP parser for PPTX and spreadsheet document types. (infiniflow#11041) fix(llm): handle None response in total_token_count_from_response (infiniflow#10941) feat: add OceanBase doc engine (infiniflow#11228) fix cohere rerank base_url default (infiniflow#11353) Feat: Fixed an issue where modifying fields in the agent operator caused the loss of structured data. infiniflow#10427 (infiniflow#11388) Docs: minor (infiniflow#11385) Doc: Optimize read me (infiniflow#11386) Fix some multilingual issues (infiniflow#11382) Feat: If a query variable in a data manipulation operator is deleted, a warning message should be displayed to the user. infiniflow#10427 infiniflow#11255 (infiniflow#11384) Fix: refine error msg. (infiniflow#11380) Doc: Added v0.22.1 release notes (infiniflow#11383) Feat: The key for the begin operator can only contain alphanumeric characters and underscores. infiniflow#10427 (infiniflow#11377) Fix: circle imports issue. (infiniflow#11374) Feat: Structured data will still be stored in outputs for compatibility with older versions. infiniflow#10427 (infiniflow#11368) Add release notes (infiniflow#11372) Update README for supporting Gemini 3 Pro (infiniflow#11369) ... # Conflicts: # pyproject.toml # web/src/locales/ru.ts
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README.md

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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/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.0">
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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.1">
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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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## 🔥 Latest Updates
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- 2025-11-19 Supports Gemini 3 Pro.
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- 2025-11-12 Supports data synchronization from Confluence, AWS S3, Discord, Google Drive.
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- 2025-10-23 Supports MinerU & Docling as document parsing methods.
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- 2025-10-15 Supports orchestrable ingestion pipeline.
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- 2025-05-23 Adds a Python/JavaScript code executor component to Agent.
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- 2025-05-05 Supports cross-language query.
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- 2025-03-19 Supports using a multi-modal model to make sense of images within PDF or DOCX files.
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- 2024-12-18 Upgrades Document Layout Analysis model in DeepDoc.
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- 2024-08-22 Support text to SQL statements through RAG.
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## 🎉 Stay Tuned
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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 `v0.22.0` 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.
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> The command below downloads the `v0.22.1` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.22.1`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server.
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```bash
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$ cd ragflow/docker
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# Optional: use a stable tag (see releases: https://github.com/infiniflow/ragflow/releases), e.g.: git checkout v0.22.0
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# git checkout v0.22.1
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# Optional: use a stable tag (see releases: https://github.com/infiniflow/ragflow/releases)
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# This steps ensures the **entrypoint.sh** file in the code matches the Docker image version.
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# Use CPU for DeepDoc tasks:

README_id.md

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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/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.0">
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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.1">
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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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## 🔥 Pembaruan Terbaru
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- 2025-11-19 Mendukung Gemini 3 Pro.
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- 2025-11-12 Mendukung sinkronisasi data dari Confluence, AWS S3, Discord, Google Drive.
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- 2025-10-23 Mendukung MinerU & Docling sebagai metode penguraian dokumen.
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- 2025-10-15 Dukungan untuk jalur data yang terorkestrasi.
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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 v0.22.0 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.
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> Perintah di bawah ini mengunduh edisi v0.22.1 dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.22.1, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server.
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```bash
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# Opsional: gunakan tag stabil (lihat releases: https://github.com/infiniflow/ragflow/releases), contoh: git checkout v0.22.0
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# git checkout v0.22.1
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# Opsional: gunakan tag stabil (lihat releases: https://github.com/infiniflow/ragflow/releases)
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# This steps ensures the **entrypoint.sh** file in the code matches the Docker image version.
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# Use CPU for DeepDoc tasks:

README_ja.md

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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.0">
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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.1">
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## 🔥 最新情報
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- 2025-11-19 Gemini 3 Proをサポートしています
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- 2025-11-12 Confluence、AWS S3、Discord、Google Drive からのデータ同期をサポートします。
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- 2025-10-23 ドキュメント解析方法として MinerU と Docling をサポートします。
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- 2025-10-15 オーケストレーションされたデータパイプラインのサポート。
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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 v0.22.0 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。
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> 以下のコマンドは、RAGFlow Docker イメージの v0.22.1 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。v0.22.1 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。
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```bash
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# 任意: 安定版タグを利用 (一覧: https://github.com/infiniflow/ragflow/releases) 例: git checkout v0.22.0
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# git checkout v0.22.1
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# 任意: 安定版タグを利用 (一覧: https://github.com/infiniflow/ragflow/releases)
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# この手順は、コード内の entrypoint.sh ファイルが Docker イメージのバージョンと一致していることを確認します。
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# Use CPU for DeepDoc tasks:

README_ko.md

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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.0">
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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.1">
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## 🔥 업데이트
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- 2025-11-19 Gemini 3 Pro를 지원합니다.
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- 2025-11-12 Confluence, AWS S3, Discord, Google Drive에서 데이터 동기화를 지원합니다.
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- 2025-10-23 문서 파싱 방법으로 MinerU 및 Docling을 지원합니다.
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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 v0.22.0 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.
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> 아래 명령어는 RAGFlow Docker 이미지의 v0.22.1 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.22.1과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오.
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# 이 단계는 코드의 entrypoint.sh 파일이 Docker 이미지 버전과 일치하도록 보장합니다.
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README_pt_br.md

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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.1">
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## 🔥 Últimas Atualizações
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- 19-11-2025 Suporta Gemini 3 Pro.
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- 12-11-2025 Suporta a sincronização de dados do Confluence, AWS S3, Discord e Google Drive.
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- 23-10-2025 Suporta MinerU e Docling como métodos de análise de documentos.
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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`v0.22.0` 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.
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> O comando abaixo baixa a edição`v0.22.1` 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 `v0.22.1`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor.
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# Esta etapa garante que o arquivo entrypoint.sh no código corresponda à versão da imagem do Docker.
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README_tzh.md

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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.1">
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## 🔥 近期更新
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- 2025-11-19 支援 Gemini 3 Pro.
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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 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。
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> 執行以下指令會自動下載 RAGFlow Docker 映像 `v0.22.1`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.22.1` 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。
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# 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
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# 可選:使用穩定版標籤(查看發佈:https://github.com/infiniflow/ragflow/releases)
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# 此步驟確保程式碼中的 entrypoint.sh 檔案與 Docker 映像版本一致。
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# Use CPU for DeepDoc tasks:

README_zh.md

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<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.22.1">
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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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## 🔥 近期更新
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- 2025-11-19 支持 Gemini 3 Pro.
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- 2025-11-12 支持从 Confluence、AWS S3、Discord、Google Drive 进行数据同步。
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- 2025-10-23 支持 MinerU 和 Docling 作为文档解析方法。
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- 2025-10-15 支持可编排的数据管道。
@@ -186,12 +187,13 @@
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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 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。
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> 运行以下命令会自动下载 RAGFlow Docker 镜像 `v0.22.1`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.22.1` 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。
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```bash
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$ cd ragflow/docker
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# 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
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# git checkout v0.22.1
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# 可选:使用稳定版本标签(查看发布:https://github.com/infiniflow/ragflow/releases)
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# 这一步确保代码中的 entrypoint.sh 文件与 Docker 镜像的版本保持一致。
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# Use CPU for DeepDoc tasks:

admin/client/README.md

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@@ -48,7 +48,7 @@ It consists of a server-side Service and a command-line client (CLI), both imple
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1. Ensure the Admin Service is running.
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2. Install ragflow-cli.
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```bash
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pip install ragflow-cli==0.22.0
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pip install ragflow-cli==0.22.1
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```
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3. Launch the CLI client:
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```bash

admin/client/admin_client.py

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self.session.headers.update({
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'Content-Type': 'application/json',
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'Authorization': response.headers['Authorization'],
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'User-Agent': 'RAGFlow-CLI/0.22.0'
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'User-Agent': 'RAGFlow-CLI/0.22.1'
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})
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print("Authentication successful.")
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return True

admin/client/pyproject.toml

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[project]
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name = "ragflow-cli"
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version = "0.22.0"
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version = "0.22.1"
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description = "Admin Service's client of [RAGFlow](https://github.com/infiniflow/ragflow). The Admin Service provides user management and system monitoring. "
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authors = [{ name = "Lynn", email = "[email protected]" }]
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license = { text = "Apache License, Version 2.0" }

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