From 986b9cbb1aaf1f9b8ac0fa386d7a6a0174cfb37d Mon Sep 17 00:00:00 2001 From: Liu An Date: Wed, 27 Aug 2025 16:56:55 +0800 Subject: [PATCH] Docs: Update version references to v0.20.4 in READMEs and docs (#9758) ### What problem does this PR solve? - Update version tags in README files (including translations) from v0.20.3 to v0.20.4 - Modify Docker image references and documentation to reflect new version - Update version badges and image descriptions - Maintain consistency across all language variants of README files ### Type of change - [x] Documentation Update --- README.md | 8 ++++---- README_id.md | 8 ++++---- README_ja.md | 8 ++++---- README_ko.md | 8 ++++---- README_pt_br.md | 8 ++++---- README_tzh.md | 8 ++++---- README_zh.md | 8 ++++---- docker/.env | 8 ++++---- docker/README.md | 4 ++-- docs/configurations.md | 4 ++-- docs/develop/build_docker_image.mdx | 2 +- docs/faq.mdx | 10 +++++----- .../guides/agent/agent_component_reference/agent.mdx | 2 +- .../agent/agent_component_reference/retrieval.mdx | 2 +- docs/guides/chat/start_chat.md | 2 +- docs/guides/dataset/configure_knowledge_base.md | 2 +- docs/guides/manage_files.md | 2 +- docs/guides/tracing.mdx | 2 +- docs/guides/upgrade_ragflow.mdx | 12 ++++++------ docs/quickstart.mdx | 12 ++++++------ docs/references/glossary.mdx | 2 +- helm/values.yaml | 2 +- pyproject.toml | 2 +- sdk/python/pyproject.toml | 2 +- sdk/python/uv.lock | 2 +- uv.lock | 2 +- 26 files changed, 66 insertions(+), 66 deletions(-) diff --git a/README.md b/README.md index 4aa72025f..266371096 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.20.3 + docker pull infiniflow/ragflow:v0.20.4 Latest Release @@ -190,7 +190,7 @@ 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 `v0.20.3-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.20.3-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:v0.20.3` for the full edition `v0.20.3`. + > The command below downloads the `v0.20.4-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.20.4-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:v0.20.4` for the full edition `v0.20.4`. ```bash $ cd ragflow/docker @@ -203,8 +203,8 @@ releases! 🌟 | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | |-------------------|-----------------|-----------------------|--------------------------| - | v0.20.3 | ≈9 | :heavy_check_mark: | Stable release | - | v0.20.3-slim | ≈2 | ❌ | Stable release | + | v0.20.4 | ≈9 | :heavy_check_mark: | Stable release | + | v0.20.4-slim | ≈2 | ❌ | Stable release | | nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly-slim | ≈2 | ❌ | _Unstable_ nightly build | diff --git a/README_id.md b/README_id.md index 82646feb1..d4349aa54 100644 --- a/README_id.md +++ b/README_id.md @@ -22,7 +22,7 @@ Lencana Daring - docker pull infiniflow/ragflow:v0.20.3 + docker pull infiniflow/ragflow:v0.20.4 Rilis Terbaru @@ -181,7 +181,7 @@ 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 v0.20.3-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.20.3-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.3 untuk edisi lengkap v0.20.3. +> Perintah di bawah ini mengunduh edisi v0.20.4-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.20.4-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.4 untuk edisi lengkap v0.20.4. ```bash $ cd ragflow/docker @@ -194,8 +194,8 @@ $ docker compose -f docker-compose.yml up -d | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | ------------------------ | -| v0.20.3 | ≈9 | :heavy_check_mark: | Stable release | -| v0.20.3-slim | ≈2 | ❌ | Stable release | +| v0.20.4 | ≈9 | :heavy_check_mark: | Stable release | +| v0.20.4-slim | ≈2 | ❌ | Stable release | | nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly-slim | ≈2 | ❌ | _Unstable_ nightly build | diff --git a/README_ja.md b/README_ja.md index d11ffae89..d69f0587d 100644 --- a/README_ja.md +++ b/README_ja.md @@ -22,7 +22,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.20.3 + docker pull infiniflow/ragflow:v0.20.4 Latest Release @@ -160,7 +160,7 @@ > 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 v0.20.3-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。v0.20.3-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 v0.20.3 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.3 と設定します。 + > 以下のコマンドは、RAGFlow Docker イメージの v0.20.4-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。v0.20.4-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 v0.20.4 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.4 と設定します。 ```bash $ cd ragflow/docker @@ -173,8 +173,8 @@ | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | ------------------------ | - | v0.20.3 | ≈9 | :heavy_check_mark: | Stable release | - | v0.20.3-slim | ≈2 | ❌ | Stable release | + | v0.20.4 | ≈9 | :heavy_check_mark: | Stable release | + | v0.20.4-slim | ≈2 | ❌ | Stable release | | nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly-slim | ≈2 | ❌ | _Unstable_ nightly build | diff --git a/README_ko.md b/README_ko.md index 8afaf1109..cb73d9957 100644 --- a/README_ko.md +++ b/README_ko.md @@ -22,7 +22,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.20.3 + docker pull infiniflow/ragflow:v0.20.4 Latest Release @@ -160,7 +160,7 @@ > 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 v0.20.3-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.20.3-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.20.3을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.3로 설정합니다. + > 아래 명령어는 RAGFlow Docker 이미지의 v0.20.4-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.20.4-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.20.4을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.4로 설정합니다. ```bash $ cd ragflow/docker @@ -173,8 +173,8 @@ | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | ------------------------ | - | v0.20.3 | ≈9 | :heavy_check_mark: | Stable release | - | v0.20.3-slim | ≈2 | ❌ | Stable release | + | v0.20.4 | ≈9 | :heavy_check_mark: | Stable release | + | v0.20.4-slim | ≈2 | ❌ | Stable release | | nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly-slim | ≈2 | ❌ | _Unstable_ nightly build | diff --git a/README_pt_br.md b/README_pt_br.md index 76068a29f..47297dd56 100644 --- a/README_pt_br.md +++ b/README_pt_br.md @@ -22,7 +22,7 @@ Badge Estático - docker pull infiniflow/ragflow:v0.20.3 + docker pull infiniflow/ragflow:v0.20.4 Última Versão @@ -180,7 +180,7 @@ 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 `v0.20.3-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 `v0.20.3-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:v0.20.3` para a edição completa `v0.20.3`. + > O comando abaixo baixa a edição `v0.20.4-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 `v0.20.4-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:v0.20.4` para a edição completa `v0.20.4`. ```bash $ cd ragflow/docker @@ -193,8 +193,8 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io). | Tag da imagem RAGFlow | Tamanho da imagem (GB) | Possui modelos de incorporação? | Estável? | | --------------------- | ---------------------- | ------------------------------- | ------------------------ | - | v0.20.3 | ~9 | :heavy_check_mark: | Lançamento estável | - | v0.20.3-slim | ~2 | ❌ | Lançamento estável | + | v0.20.4 | ~9 | :heavy_check_mark: | Lançamento estável | + | v0.20.4-slim | ~2 | ❌ | Lançamento estável | | nightly | ~9 | :heavy_check_mark: | _Instável_ build noturno | | nightly-slim | ~2 | ❌ | _Instável_ build noturno | diff --git a/README_tzh.md b/README_tzh.md index 50fe7e704..a260fe80d 100644 --- a/README_tzh.md +++ b/README_tzh.md @@ -22,7 +22,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.20.3 + docker pull infiniflow/ragflow:v0.20.4 Latest Release @@ -183,7 +183,7 @@ > 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 `v0.20.3-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.20.3-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:v0.20.3` 來下載 RAGFlow 鏡像的 `v0.20.3` 完整發行版。 + > 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.20.4-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.20.4-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:v0.20.4` 來下載 RAGFlow 鏡像的 `v0.20.4` 完整發行版。 ```bash $ cd ragflow/docker @@ -196,8 +196,8 @@ | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | ------------------------ | - | v0.20.3 | ≈9 | :heavy_check_mark: | Stable release | - | v0.20.3-slim | ≈2 | ❌ | Stable release | + | v0.20.4 | ≈9 | :heavy_check_mark: | Stable release | + | v0.20.4-slim | ≈2 | ❌ | Stable release | | nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly-slim | ≈2 | ❌ | _Unstable_ nightly build | diff --git a/README_zh.md b/README_zh.md index 5f7706fd4..61528a90f 100644 --- a/README_zh.md +++ b/README_zh.md @@ -22,7 +22,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.20.3 + docker pull infiniflow/ragflow:v0.20.4 Latest Release @@ -183,7 +183,7 @@ > 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 slim Docker 镜像 `v0.20.3-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.20.3-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:v0.20.3` 来下载 RAGFlow 镜像的 `v0.20.3` 完整发行版。 + > 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.20.4-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.20.4-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:v0.20.4` 来下载 RAGFlow 镜像的 `v0.20.4` 完整发行版。 ```bash $ cd ragflow/docker @@ -196,8 +196,8 @@ | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | ----------------- | --------------- | --------------------- | ------------------------ | - | v0.20.3 | ≈9 | :heavy_check_mark: | Stable release | - | v0.20.3-slim | ≈2 | ❌ | Stable release | + | v0.20.4 | ≈9 | :heavy_check_mark: | Stable release | + | v0.20.4-slim | ≈2 | ❌ | Stable release | | nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build | | nightly-slim | ≈2 | ❌ | _Unstable_ nightly build | diff --git a/docker/.env b/docker/.env index bab23a3db..7988b71f1 100644 --- a/docker/.env +++ b/docker/.env @@ -93,13 +93,13 @@ REDIS_PASSWORD=infini_rag_flow SVR_HTTP_PORT=9380 # The RAGFlow Docker image to download. -# Defaults to the v0.20.1-slim edition, which is the RAGFlow Docker image without embedding models. -RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.3-slim +# Defaults to the v0.20.4-slim edition, which is the RAGFlow Docker image without embedding models. +RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.4-slim # # To download the RAGFlow Docker image with embedding models, uncomment the following line instead: -# RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.1 +# RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.4 # -# The Docker image of the v0.20.1 edition includes built-in embedding models: +# The Docker image of the v0.20.4 edition includes built-in embedding models: # - BAAI/bge-large-zh-v1.5 # - maidalun1020/bce-embedding-base_v1 # diff --git a/docker/README.md b/docker/README.md index f74a1e2d2..fa3cff7bd 100644 --- a/docker/README.md +++ b/docker/README.md @@ -79,8 +79,8 @@ The [.env](./.env) file contains important environment variables for Docker. - `RAGFLOW-IMAGE` The Docker image edition. Available editions: - - `infiniflow/ragflow:v0.20.3-slim` (default): The RAGFlow Docker image without embedding models. - - `infiniflow/ragflow:v0.20.3`: The RAGFlow Docker image with embedding models including: + - `infiniflow/ragflow:v0.20.4-slim` (default): The RAGFlow Docker image without embedding models. + - `infiniflow/ragflow:v0.20.4`: The RAGFlow Docker image with embedding models including: - Built-in embedding models: - `BAAI/bge-large-zh-v1.5` - `maidalun1020/bce-embedding-base_v1` diff --git a/docs/configurations.md b/docs/configurations.md index 0247a0794..3669312af 100644 --- a/docs/configurations.md +++ b/docs/configurations.md @@ -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:v0.20.3-slim` (default): The RAGFlow Docker image without embedding models. - - `infiniflow/ragflow:v0.20.3`: The RAGFlow Docker image with embedding models including: + - `infiniflow/ragflow:v0.20.4-slim` (default): The RAGFlow Docker image without embedding models. + - `infiniflow/ragflow:v0.20.4`: The RAGFlow Docker image with embedding models including: - Built-in embedding models: - `BAAI/bge-large-zh-v1.5` - `maidalun1020/bce-embedding-base_v1` diff --git a/docs/develop/build_docker_image.mdx b/docs/develop/build_docker_image.mdx index c9150bc56..2fa411e79 100644 --- a/docs/develop/build_docker_image.mdx +++ b/docs/develop/build_docker_image.mdx @@ -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:v0.20.3-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:v0.20.4-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image. 2. Launch the Service diff --git a/docs/faq.mdx b/docs/faq.mdx index f83e2ce0f..1e26d4f94 100644 --- a/docs/faq.mdx +++ b/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:v0.20.3-slim` -- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.20.3` +- **Slim edition**: excludes built-in embedding models and is identified by a **-slim** suffix added to the version name. Example: `infiniflow/ragflow:v0.20.4-slim` +- **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.20.4` --- ### Which embedding models can be deployed locally? -RAGFlow offers two Docker image editions, `v0.20.3-slim` and `v0.20.3`: +RAGFlow offers two Docker image editions, `v0.20.4-slim` and `v0.20.4`: -- `infiniflow/ragflow:v0.20.3-slim` (default): The RAGFlow Docker image without embedding models. -- `infiniflow/ragflow:v0.20.3`: The RAGFlow Docker image with embedding models including: +- `infiniflow/ragflow:v0.20.4-slim` (default): The RAGFlow Docker image without embedding models. +- `infiniflow/ragflow:v0.20.4`: The RAGFlow Docker image with embedding models including: - Built-in embedding models: - `BAAI/bge-large-zh-v1.5` - `maidalun1020/bce-embedding-base_v1` diff --git a/docs/guides/agent/agent_component_reference/agent.mdx b/docs/guides/agent/agent_component_reference/agent.mdx index 124c5db4c..97c131e34 100644 --- a/docs/guides/agent/agent_component_reference/agent.mdx +++ b/docs/guides/agent/agent_component_reference/agent.mdx @@ -9,7 +9,7 @@ The component equipped with reasoning, tool usage, and multi-agent collaboration --- -An **Agent** component fine-tunes the LLM and sets its prompt. From v0.20.3 onwards, an **Agent** component is able to work independently and with the following capabilities: +An **Agent** component fine-tunes the LLM and sets its prompt. From v0.20.4 onwards, an **Agent** component is able to work independently and with the following capabilities: - Autonomous reasoning with reflection and adjustment based on environmental feedback. - Use of tools or subagents to complete tasks. diff --git a/docs/guides/agent/agent_component_reference/retrieval.mdx b/docs/guides/agent/agent_component_reference/retrieval.mdx index 720e7e647..6c4ec5426 100644 --- a/docs/guides/agent/agent_component_reference/retrieval.mdx +++ b/docs/guides/agent/agent_component_reference/retrieval.mdx @@ -9,7 +9,7 @@ A component that retrieves information from specified datasets. ## Scenarios -A **Retrieval** component is essential in most RAG scenarios, where information is extracted from designated knowledge bases before being sent to the LLM for content generation. As of v0.20.3, a **Retrieval** component can operate either as a workflow component or as a tool of an **Agent**, enabling the Agent to control its invocation and search queries. +A **Retrieval** component is essential in most RAG scenarios, where information is extracted from designated knowledge bases before being sent to the LLM for content generation. As of v0.20.4, a **Retrieval** component can operate either as a workflow component or as a tool of an **Agent**, enabling the Agent to control its invocation and search queries. ## Configurations diff --git a/docs/guides/chat/start_chat.md b/docs/guides/chat/start_chat.md index cb9dbe777..5dcd69bb3 100644 --- a/docs/guides/chat/start_chat.md +++ b/docs/guides/chat/start_chat.md @@ -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 v0.20.3, if you add custom variables here, the only way you can pass in their values is to call: + - As of v0.20.4, 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). diff --git a/docs/guides/dataset/configure_knowledge_base.md b/docs/guides/dataset/configure_knowledge_base.md index 52d8db598..0882537d9 100644 --- a/docs/guides/dataset/configure_knowledge_base.md +++ b/docs/guides/dataset/configure_knowledge_base.md @@ -128,7 +128,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details. ## Search for knowledge base -As of RAGFlow v0.20.3, the search feature is still in a rudimentary form, supporting only knowledge base search by name. +As of RAGFlow v0.20.4, 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) diff --git a/docs/guides/manage_files.md b/docs/guides/manage_files.md index c283ec2b7..7366dcb59 100644 --- a/docs/guides/manage_files.md +++ b/docs/guides/manage_files.md @@ -87,4 +87,4 @@ RAGFlow's file management allows you to download an uploaded file: ![download_file](https://github.com/infiniflow/ragflow/assets/93570324/cf3b297f-7d9b-4522-bf5f-4f45743e4ed5) -> As of RAGFlow v0.20.3, bulk download is not supported, nor can you download an entire folder. +> As of RAGFlow v0.20.4, bulk download is not supported, nor can you download an entire folder. diff --git a/docs/guides/tracing.mdx b/docs/guides/tracing.mdx index bd533467e..78da8c48a 100644 --- a/docs/guides/tracing.mdx +++ b/docs/guides/tracing.mdx @@ -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 **≥ 0.20.3** (contains the Langfuse connector) +• RAGFlow **≥ 0.20.4** (contains the Langfuse connector) • A Langfuse workspace (cloud or self-hosted) with a _Project Public Key_ and _Secret Key_ ::: diff --git a/docs/guides/upgrade_ragflow.mdx b/docs/guides/upgrade_ragflow.mdx index 65d00103e..6fa4621a7 100644 --- a/docs/guides/upgrade_ragflow.mdx +++ b/docs/guides/upgrade_ragflow.mdx @@ -66,10 +66,10 @@ 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., `v0.20.3`: +2. Switch to the latest, officially published release, e.g., `v0.20.4`: ```bash - git checkout -f v0.20.3 + git checkout -f v0.20.4 ``` 3. Update **ragflow/docker/.env**: @@ -83,14 +83,14 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag ```bash -RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.3-slim +RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.4-slim ``` ```bash -RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.3 +RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.4 ``` @@ -114,10 +114,10 @@ No, you do not need to. Upgrading RAGFlow in itself will *not* remove your uploa 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.v0.20.3.tar infiniflow/ragflow:v0.20.3 + docker save -o ragflow.v0.20.4.tar infiniflow/ragflow:v0.20.4 ``` 3. Copy the **.tar** file to the target server. 4. Load the **.tar** file into Docker: ```bash - docker load -i ragflow.v0.20.3.tar + docker load -i ragflow.v0.20.4.tar ``` diff --git a/docs/quickstart.mdx b/docs/quickstart.mdx index c4690711f..d1012212d 100644 --- a/docs/quickstart.mdx +++ b/docs/quickstart.mdx @@ -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 v0.20.3 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 v0.20.4 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.