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@@ -93,8 +94,6 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
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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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@@ -188,12 +187,13 @@ 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 `v0.22.0` 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.
@@ -85,6 +85,7 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
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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.
@@ -186,12 +187,13 @@ 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 v0.22.0 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.
- 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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- 2025-10-15 조정된 데이터 파이프라인 지원.
@@ -168,12 +169,13 @@
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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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```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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# 이 단계는 코드의 entrypoint.sh 파일이 Docker 이미지 버전과 일치하도록 보장합니다.
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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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- 15-10-2025 Suporte para pipelines de dados orquestrados.
@@ -186,12 +187,13 @@ 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`v0.22.0` 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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```bash
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$ cd ragflow/docker
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# Opcional: use uma tag estável (veja releases: https://github.com/infiniflow/ragflow/releases), ex.: git checkout v0.22.0
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# git checkout v0.22.1
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# Opcional: use uma tag estável (veja releases: https://github.com/infiniflow/ragflow/releases)
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# Esta etapa garante que o arquivo entrypoint.sh no código corresponda à versão da imagem do Docker.
Copy file name to clipboardExpand all lines: 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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