Docs: prepare docs for release v0.17.1 (#5900)

### What problem does this PR solve?


### Type of change

- [x] Documentation Update

README.md

@@ -22,7 +22,7 @@
         <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
     </a>
     <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
-        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
+        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
     </a>
     <a href="https://github.com/infiniflow/ragflow/releases/latest">
         <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@@ -178,7 +178,7 @@ 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 `v0.17.0-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.17.0-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:v0.17.0` for the full edition `v0.17.0`.
+   > The command below downloads the `v0.17.1-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.17.1-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:v0.17.1` for the full edition `v0.17.1`.
 
    ```bash
    $ cd ragflow/docker
@@ -187,8 +187,8 @@ releases! 🌟
 
    | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable?                  |
    |-------------------|-----------------|-----------------------|--------------------------|
-   | v0.17.0           | &approx;9       | :heavy_check_mark:    | Stable release           |
-   | v0.17.0-slim      | &approx;2       | ❌                   | Stable release            |
+   | v0.17.1           | &approx;9       | :heavy_check_mark:    | Stable release           |
+   | v0.17.1-slim      | &approx;2       | ❌                   | Stable release            |
    | nightly           | &approx;9       | :heavy_check_mark:    | _Unstable_ nightly build |
    | nightly-slim      | &approx;2       | ❌                   | _Unstable_ nightly build  |
 

README_id.md

@@ -22,7 +22,7 @@
         <img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99">
     </a>
     <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
-        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
+        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
     </a>
     <a href="https://github.com/infiniflow/ragflow/releases/latest">
         <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Rilis%20Terbaru" alt="Rilis Terbaru">
@@ -171,7 +171,7 @@ 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 v0.17.0-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.17.0-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0 untuk edisi lengkap v0.17.0.
+   > Perintah di bawah ini mengunduh edisi v0.17.1-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.17.1-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1 untuk edisi lengkap v0.17.1.
 
    ```bash
    $ cd ragflow/docker
@@ -180,8 +180,8 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
 
    | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable?                  |
    | ----------------- | --------------- | --------------------- | ------------------------ |
-   | v0.17.0           | &approx;9       | :heavy_check_mark:    | Stable release           |
-   | v0.17.0-slim      | &approx;2       | ❌                    | Stable release           |
+   | v0.17.1           | &approx;9       | :heavy_check_mark:    | Stable release           |
+   | v0.17.1-slim      | &approx;2       | ❌                    | Stable release           |
    | nightly           | &approx;9       | :heavy_check_mark:    | _Unstable_ nightly build |
    | nightly-slim      | &approx;2       | ❌                    | _Unstable_ nightly build |
 

README_ja.md

@@ -22,7 +22,7 @@
         <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
     </a>
     <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
-        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
+        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
     </a>
     <a href="https://github.com/infiniflow/ragflow/releases/latest">
         <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@@ -151,7 +151,7 @@
 > 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 v0.17.0-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。v0.17.0-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 v0.17.0 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0 と設定します。
+   > 以下のコマンドは、RAGFlow Docker イメージの v0.17.1-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。v0.17.1-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 v0.17.1 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1 と設定します。
 
    ```bash
    $ cd ragflow/docker
@@ -160,8 +160,8 @@
 
    | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable?                  |
    | ----------------- | --------------- | --------------------- | ------------------------ |
-   | v0.17.0           | &approx;9       | :heavy_check_mark:    | Stable release           |
-   | v0.17.0-slim      | &approx;2       | ❌                    | Stable release           |
+   | v0.17.1           | &approx;9       | :heavy_check_mark:    | Stable release           |
+   | v0.17.1-slim      | &approx;2       | ❌                    | Stable release           |
    | nightly           | &approx;9       | :heavy_check_mark:    | _Unstable_ nightly build |
    | nightly-slim      | &approx;2       | ❌                     | _Unstable_ nightly build |
 

README_ko.md

@@ -22,7 +22,7 @@
         <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
     </a>
     <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
-        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
+        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
     </a>
     <a href="https://github.com/infiniflow/ragflow/releases/latest">
         <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@@ -152,7 +152,7 @@
 > 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 v0.17.0-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.17.0-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.17.0을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0로 설정합니다.
+   > 아래 명령어는 RAGFlow Docker 이미지의 v0.17.1-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.17.1-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.17.1을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1로 설정합니다.
 
    ```bash
    $ cd ragflow/docker
@@ -161,8 +161,8 @@
 
    | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable?                  |
    | ----------------- | --------------- | --------------------- | ------------------------ |
-   | v0.17.0           | &approx;9       | :heavy_check_mark:    | Stable release           |
-   | v0.17.0-slim      | &approx;2       | ❌                    | Stable release           |
+   | v0.17.1           | &approx;9       | :heavy_check_mark:    | Stable release           |
+   | v0.17.1-slim      | &approx;2       | ❌                    | Stable release           |
    | nightly           | &approx;9       | :heavy_check_mark:    | _Unstable_ nightly build |
    | nightly-slim      | &approx;2       | ❌                     | _Unstable_ nightly build |
 

README_pt_br.md

@@ -22,7 +22,7 @@
         <img alt="Badge Estático" src="https://img.shields.io/badge/Online-Demo-4e6b99">
     </a>
     <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
-        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
+        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
     </a>
     <a href="https://github.com/infiniflow/ragflow/releases/latest">
         <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Última%20Relese" alt="Última Versão">
@@ -171,7 +171,7 @@ 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 `v0.17.0-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 `v0.17.0-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:v0.17.0` para a edição completa `v0.17.0`.
+    > O comando abaixo baixa a edição `v0.17.1-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 `v0.17.1-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:v0.17.1` para a edição completa `v0.17.1`.
 
     ```bash
     $ cd ragflow/docker
@@ -180,8 +180,8 @@ 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?                 |
     | --------------------- | ---------------------- | ------------------------------- | ------------------------ |
-    | v0.17.0               | ~9                     | :heavy_check_mark:              | Lançamento estável       |
-    | v0.17.0-slim          | ~2                     | ❌                              | Lançamento estável       |
+    | v0.17.1               | ~9                     | :heavy_check_mark:              | Lançamento estável       |
+    | v0.17.1-slim          | ~2                     | ❌                              | Lançamento estável       |
     | nightly               | ~9                     | :heavy_check_mark:              | _Instável_ build noturno |
     | nightly-slim          | ~2                     | ❌                               | _Instável_ build noturno |
 

README_tzh.md

@@ -21,7 +21,7 @@
         <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
     </a>
     <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
-        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
+        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
     </a>
     <a href="https://github.com/infiniflow/ragflow/releases/latest">
         <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@@ -150,7 +150,7 @@
 > 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 `v0.17.0-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.17.0-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:v0.17.0` 來下載 RAGFlow 鏡像的 `v0.17.0` 完整發行版。
+   > 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.17.1-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.17.1-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:v0.17.1` 來下載 RAGFlow 鏡像的 `v0.17.1` 完整發行版。
 
    ```bash
    $ cd ragflow/docker
@@ -159,8 +159,8 @@
 
    | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable?                  |
    | ----------------- | --------------- | --------------------- | ------------------------ |
-   | v0.17.0           | &approx;9       | :heavy_check_mark:    | Stable release           |
-   | v0.17.0-slim      | &approx;2       | ❌                    | Stable release           |
+   | v0.17.1           | &approx;9       | :heavy_check_mark:    | Stable release           |
+   | v0.17.1-slim      | &approx;2       | ❌                    | Stable release           |
    | nightly           | &approx;9       | :heavy_check_mark:    | _Unstable_ nightly build |
    | nightly-slim      | &approx;2       | ❌                     | _Unstable_ nightly build |
 

README_zh.md

@@ -22,7 +22,7 @@
         <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
     </a>
     <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
-        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.0">
+        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.1">
     </a>
     <a href="https://github.com/infiniflow/ragflow/releases/latest">
         <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@@ -151,7 +151,7 @@
 > 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 `v0.17.0-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.17.0-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:v0.17.0` 来下载 RAGFlow 镜像的 `v0.17.0` 完整发行版。
+   > 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.17.1-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.17.1-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:v0.17.1` 来下载 RAGFlow 镜像的 `v0.17.1` 完整发行版。
 
    ```bash
    $ cd ragflow/docker
@@ -160,8 +160,8 @@
 
    | RAGFlow image tag | Image size (GB) | Has embedding models? | Stable?                  |
    | ----------------- | --------------- | --------------------- | ------------------------ |
-   | v0.17.0           | &approx;9       | :heavy_check_mark:    | Stable release           |
-   | v0.17.0-slim      | &approx;2       | ❌                    | Stable release           |
+   | v0.17.1           | &approx;9       | :heavy_check_mark:    | Stable release           |
+   | v0.17.1-slim      | &approx;2       | ❌                    | Stable release           |
    | nightly           | &approx;9       | :heavy_check_mark:    | _Unstable_ nightly build |
    | nightly-slim      | &approx;2       | ❌                     | _Unstable_ nightly build |
 

docker/.env

@@ -80,13 +80,13 @@ REDIS_PASSWORD=infini_rag_flow
 SVR_HTTP_PORT=9380
 
 # The RAGFlow Docker image to download.
-# Defaults to the v0.17.0-slim edition, which is the RAGFlow Docker image without embedding models.
-RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0-slim
+# Defaults to the v0.17.1-slim edition, which is the RAGFlow Docker image without embedding models.
+RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1-slim
 #
 # To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
-# RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0
+# RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1
 # 
-# The Docker image of the v0.17.0 edition includes:
+# The Docker image of the v0.17.1 edition includes:
 # - Built-in embedding models:
 #   - BAAI/bge-large-zh-v1.5
 #   - BAAI/bge-reranker-v2-m3

docker/README.md

@@ -78,8 +78,8 @@ The [.env](./.env) file contains important environment variables for Docker.
 - `RAGFLOW-IMAGE`  
   The Docker image edition. Available editions:  
   
-  - `infiniflow/ragflow:v0.17.0-slim` (default): The RAGFlow Docker image without embedding models.  
-  - `infiniflow/ragflow:v0.17.0`: The RAGFlow Docker image with embedding models including:
+  - `infiniflow/ragflow:v0.17.1-slim` (default): The RAGFlow Docker image without embedding models.  
+  - `infiniflow/ragflow:v0.17.1`: The RAGFlow Docker image with embedding models including:
     - Built-in embedding models:
       - `BAAI/bge-large-zh-v1.5` 
       - `BAAI/bge-reranker-v2-m3`

docs/configurations.md

@@ -97,8 +97,8 @@ The [.env](https://github.com/infiniflow/ragflow/blob/main/docker/.env) file con
 - `RAGFLOW-IMAGE`  
   The Docker image edition. Available editions:  
   
-  - `infiniflow/ragflow:v0.17.0-slim` (default): The RAGFlow Docker image without embedding models.  
-  - `infiniflow/ragflow:v0.17.0`: The RAGFlow Docker image with embedding models including:
+  - `infiniflow/ragflow:v0.17.1-slim` (default): The RAGFlow Docker image without embedding models.  
+  - `infiniflow/ragflow:v0.17.1`: The RAGFlow Docker image with embedding models including:
     - Built-in embedding models:
       - `BAAI/bge-large-zh-v1.5` 
       - `BAAI/bge-reranker-v2-m3`

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:v0.17.0-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:v0.17.1-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image.
 
 
 2. Launch the Service

docs/faq.md

@@ -37,12 +37,12 @@ If you build RAGFlow from source, the version number is also in the system log:
      / _, _// ___ |/ /_/ // __/  / // /_/ /| |/ |/ / 
     /_/ |_|/_/  |_|\____//_/    /_/ \____/ |__/|__/                             
 
-2025-02-18 10:10:43,835 INFO     1445658 RAGFlow version: v0.17.0-50-g6daae7f2 full
+2025-02-18 10:10:43,835 INFO     1445658 RAGFlow version: v0.17.1-50-g6daae7f2 full
 ```
 
 Where:
 
-- `v0.17.0`: The officially published release.
+- `v0.17.1`: The officially published release.
 - `50`: The number of git commits since the official release.
 - `g6daae7f2`: `g` is the prefix, and `6daae7f2` is the first seven characters of the current commit ID.
 - `full`/`slim`: The RAGFlow edition.
@@ -71,10 +71,10 @@ We officially support x86 CPU and nvidia GPU. While we also test RAGFlow on ARM6
 
 ### Which embedding models can be deployed locally?
 
-RAGFlow offers two Docker image editions, `v0.17.0-slim` and `v0.17.0`:  
+RAGFlow offers two Docker image editions, `v0.17.1-slim` and `v0.17.1`:  
   
-- `infiniflow/ragflow:v0.17.0-slim` (default): The RAGFlow Docker image without embedding models.  
-- `infiniflow/ragflow:v0.17.0`: The RAGFlow Docker image with embedding models including:
+- `infiniflow/ragflow:v0.17.1-slim` (default): The RAGFlow Docker image without embedding models.  
+- `infiniflow/ragflow:v0.17.1`: The RAGFlow Docker image with embedding models including:
   - Built-in embedding models:
     - `BAAI/bge-large-zh-v1.5`
     - `BAAI/bge-reranker-v2-m3`

docs/guides/chat/implement_deep_research.md

@@ -9,7 +9,7 @@ Implements deep research for agentic reasoning.
 
 ---
 
-From v0.17.0 onward, RAGFlow supports integrating agentic reasoning in an AI chat. The following diagram illustrates the workflow of RAGFlow's deep research:
+From v0.17.1 onward, RAGFlow supports integrating agentic reasoning in an AI chat. The following diagram illustrates the workflow of RAGFlow's deep research:
 
 ![Image](https://github.com/user-attachments/assets/f65d4759-4f09-4d9d-9549-c0e1fe907525)
 

docs/guides/dataset/accelerate_doc_indexing.mdx

@@ -16,4 +16,4 @@ Please note that some of your settings may consume a significant amount of time.
 - On the configuration page of your knowledge base, switch off **Use RAPTOR to enhance retrieval**.
 - Extracting knowledge graph (GraphRAG) is time-consuming.
 - Disable **Auto-keyword** and **Auto-question** on the configuration page of yor knowledge base, as both depend on the LLM.
-- **v0.17.0:** If your document is plain text PDF and does not require GPU-intensive processes like OCR (Optical Character Recognition), TSR (Table Structure Recognition), or DLA (Document Layout Analysis), you can choose **Naive** over **DeepDoc** or other time-consuming large model options in the **Document parser** dropdown. This will substantially reduce document parsing time.
+- **v0.17.1:** If your document is plain text PDF and does not require GPU-intensive processes like OCR (Optical Character Recognition), TSR (Table Structure Recognition), or DLA (Document Layout Analysis), you can choose **Naive** over **DeepDoc** or other time-consuming large model options in the **Document parser** dropdown. This will substantially reduce document parsing time.

docs/guides/dataset/configure_knowledge_base.md

@@ -130,7 +130,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
 
 ## Search for knowledge base
 
-As of RAGFlow v0.17.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
+As of RAGFlow v0.17.1, 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)
 

docs/guides/manage_files.md

@@ -85,4 +85,4 @@ 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 v0.17.0, bulk download is not supported, nor can you download an entire folder. 
+> As of RAGFlow v0.17.1, bulk download is not supported, nor can you download an entire folder. 

docs/guides/upgrade_ragflow.mdx

@@ -62,16 +62,16 @@ 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., `v0.17.0`:
+2. Switch to the latest, officially published release, e.g., `v0.17.1`:
 
    ```bash
-   git checkout -f v0.17.0
+   git checkout -f v0.17.1
    ```
 
 3. Update **ragflow/docker/.env** as follows:
 
    ```bash
-   RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.0
+   RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1
    ```
 
 4. Update the RAGFlow image and restart RAGFlow:

docs/quickstart.mdx

@@ -39,7 +39,7 @@ 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 v0.17.0 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 v0.17.1 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"
@@ -179,13 +179,13 @@ 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 v0.17.0
+   $ git checkout -f v0.17.1
    ```
 
 3. Use the pre-built Docker images and start up the server:
 
    :::tip NOTE
-   The command below downloads the `v0.17.0-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 `v0.17.0-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:v0.17.0` for the full edition `v0.17.0`.
+   The command below downloads the `v0.17.1-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 `v0.17.1-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:v0.17.1` for the full edition `v0.17.1`.
    :::
 
    ```bash
@@ -198,8 +198,8 @@ 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? | Stable?                  |
 | ------------------- | --------------- | ----------------------------------------- | ------------------------ |
-| `v0.17.0`           | &approx;9       | :heavy_check_mark:                        | Stable release           |
-| `v0.17.0-slim`      | &approx;2       | ❌                                        | Stable release           |
+| `v0.17.1`           | &approx;9       | :heavy_check_mark:                        | Stable release           |
+| `v0.17.1-slim`      | &approx;2       | ❌                                        | Stable release           |
 | `nightly`           | &approx;9       | :heavy_check_mark:                        | *Unstable* nightly build |
 | `nightly-slim`      | &approx;2       | ❌                                        | *Unstable* nightly build |
 

docs/release_notes.md

@@ -7,7 +7,7 @@ slug: /release_notes
 
 Key features, improvements and bug fixes in the latest releases.
 
-## v0.17.0
+## v0.17.1
 
 Released on March 3, 2025.
 

helm/values.yaml

@@ -27,13 +27,13 @@ env:
   REDIS_PASSWORD: infini_rag_flow_helm
 
   # The RAGFlow Docker image to download.
-  # Defaults to the v0.17.0-slim edition, which is the RAGFlow Docker image without embedding models.
-  RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.0-slim
+  # Defaults to the v0.17.1-slim edition, which is the RAGFlow Docker image without embedding models.
+  RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.1-slim
   #
   # To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
-  # RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.0
+  # RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.1
   #
-  # The Docker image of the v0.17.0 edition includes:
+  # The Docker image of the v0.17.1 edition includes:
   # - Built-in embedding models:
   #   - BAAI/bge-large-zh-v1.5
   #   - BAAI/bge-reranker-v2-m3

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "ragflow"
-version = "0.17.0"
+version = "0.17.1"
 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" }

sdk/python/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "ragflow-sdk"
-version = "0.17.0"
+version = "0.17.1"
 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" }

sdk/python/uv.lock

@@ -123,7 +123,7 @@ wheels = [
 
 [[package]]
 name = "pytest"
-version = "8.3.4"
+version = "8.3.5"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
     { name = "colorama", marker = "sys_platform == 'win32'" },
@@ -133,14 +133,14 @@ dependencies = [
     { name = "pluggy" },
     { name = "tomli", marker = "python_full_version < '3.11'" },
 ]
-sdist = { url = "https://mirrors.aliyun.com/pypi/packages/05/35/30e0d83068951d90a01852cb1cef56e5d8a09d20c7f511634cc2f7e0372a/pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761" }
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/ae/3c/c9d525a414d506893f0cd8a8d0de7706446213181570cdbd766691164e40/pytest-8.3.5.tar.gz", hash = "sha256:f4efe70cc14e511565ac476b57c279e12a855b11f48f212af1080ef2263d3845" }
 wheels = [
-    { url = "https://mirrors.aliyun.com/pypi/packages/11/92/76a1c94d3afee238333bc0a42b82935dd8f9cf8ce9e336ff87ee14d9e1cf/pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6" },
+    { url = "https://mirrors.aliyun.com/pypi/packages/30/3d/64ad57c803f1fa1e963a7946b6e0fea4a70df53c1a7fed304586539c2bac/pytest-8.3.5-py3-none-any.whl", hash = "sha256:c69214aa47deac29fad6c2a4f590b9c4a9fdb16a403176fe154b79c0b4d4d820" },
 ]
 
 [[package]]
 name = "ragflow-sdk"
-version = "0.17.0"
+version = "0.17.1"
 source = { virtual = "." }
 dependencies = [
     { name = "beartype" },

uv.lock

@@ -1,5 +1,4 @@
 version = 1
-revision = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
     "python_full_version >= '3.12' and sys_platform == 'darwin'",
@@ -33,11 +32,11 @@ wheels = [
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.6"
+version = "2.5.0"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
-sdist = { url = "https://mirrors.aliyun.com/pypi/packages/08/07/508f9ebba367fc3370162e53a3cfd12f5652ad79f0e0bfdf9f9847c6f159/aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0" }
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/a2/0c/458958007041f4b4de2d307e6b75d9e7554dad0baf26fe7a48b741aac126/aiohappyeyeballs-2.5.0.tar.gz", hash = "sha256:18fde6204a76deeabc97c48bdd01d5801cfda5d6b9c8bbeb1aaaee9d648ca191" }
 wheels = [
-    { url = "https://mirrors.aliyun.com/pypi/packages/44/4c/03fb05f56551828ec67ceb3665e5dc51638042d204983a03b0a1541475b6/aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1" },
+    { url = "https://mirrors.aliyun.com/pypi/packages/1b/9a/e4886864ce06e1579bd428208127fbdc0d62049c751e4e9e3b509c0059dc/aiohappyeyeballs-2.5.0-py3-none-any.whl", hash = "sha256:0850b580748c7071db98bffff6d4c94028d0d3035acc20fd721a0ce7e8cac35d" },
 ]
 
 [[package]]
@@ -150,7 +149,7 @@ wheels = [
 
 [[package]]
 name = "akshare"
-version = "1.16.16"
+version = "1.16.42"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
     { name = "akracer", marker = "sys_platform == 'linux'" },
@@ -169,9 +168,9 @@ dependencies = [
     { name = "urllib3" },
     { name = "xlrd" },
 ]
-sdist = { url = "https://mirrors.aliyun.com/pypi/packages/1e/1f/1b33cae646ce80c90dd35b4f6b1cac1803d101bfe48cc97c0702035430ac/akshare-1.16.16.tar.gz", hash = "sha256:8ce5401351939ba8786eed052965da29ee68f60a48565fd827f6d906d35ad3d2" }
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/59/86/2571a0ea70a352e55100cabc3c2eb46708c78d1721693f2c708a96d9ab4c/akshare-1.16.42.tar.gz", hash = "sha256:e69fb98dbeaedd287002ed79963279ad17502cb463c7d8fa8b8692d215fcc80f" }
 wheels = [
-    { url = "https://mirrors.aliyun.com/pypi/packages/41/ca/7d35ee68baad0ffd2ecd98cd52255c55b10863a3ae17ed11aabfa122a4be/akshare-1.16.16-py3-none-any.whl", hash = "sha256:564c45d370699c12ecfe87d39dc8fef7a623e5386ade5f14a2565fb976c634d0" },
+    { url = "https://mirrors.aliyun.com/pypi/packages/3b/e7/b1a3e515f34de3416ba4e96adba8697c12b8b8fd74aa1a7bd505dd450f57/akshare-1.16.42-py3-none-any.whl", hash = "sha256:154374adb01b030ed9baed992d836887858154fbec42db7885d818119d081a71" },
 ]
 
 [[package]]
@@ -984,52 +983,56 @@ wheels = [
 
 [[package]]
 name = "cryptography"
-version = "44.0.1"
+version = "44.0.2"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
     { name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
 ]
-sdist = { url = "https://mirrors.aliyun.com/pypi/packages/c7/67/545c79fe50f7af51dbad56d16b23fe33f63ee6a5d956b3cb68ea110cbe64/cryptography-44.0.1.tar.gz", hash = "sha256:f51f5705ab27898afda1aaa430f34ad90dc117421057782022edf0600bec5f14" }
-wheels = [
-    { url = "https://mirrors.aliyun.com/pypi/packages/72/27/5e3524053b4c8889da65cf7814a9d0d8514a05194a25e1e34f46852ee6eb/cryptography-44.0.1-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf688f615c29bfe9dfc44312ca470989279f0e94bb9f631f85e3459af8efc009" },
-    { url = "https://mirrors.aliyun.com/pypi/packages/34/b9/4d1fa8d73ae6ec350012f89c3abfbff19fc95fe5420cf972e12a8d182986/cryptography-44.0.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd7c7e2d71d908dc0f8d2027e1604102140d84b155e658c20e8ad1304317691f" },
-    { url = "https://mirrors.aliyun.com/pypi/packages/6e/57/371a9f3f3a4500807b5fcd29fec77f418ba27ffc629d88597d0d1049696e/cryptography-44.0.1-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:887143b9ff6bad2b7570da75a7fe8bbf5f65276365ac259a5d2d5147a73775f2" },
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+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/72/0a/c3ea9573b1dc2e151abfe88c7fe0c26d1892fe6ed02d0cdb30f0d57029d5/cssselect-1.3.0.tar.gz", hash = "sha256:57f8a99424cfab289a1b6a816a43075a4b00948c86b4dcf3ef4ee7e15f7ab0c7" }
 wheels = [
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+    { url = "https://mirrors.aliyun.com/pypi/packages/ee/58/257350f7db99b4ae12b614a36256d9cc870d71d9e451e79c2dc3b23d7c3c/cssselect-1.3.0-py3-none-any.whl", hash = "sha256:56d1bf3e198080cc1667e137bc51de9cadfca259f03c2d4e09037b3e01e30f0d" },
 ]
 
 [[package]]
@@ -1084,6 +1087,9 @@ name = "datrie"
 version = "0.8.2"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 sdist = { url = "https://mirrors.aliyun.com/pypi/packages/9d/fe/db74bd405d515f06657f11ad529878fd389576dca4812bea6f98d9b31574/datrie-0.8.2.tar.gz", hash = "sha256:525b08f638d5cf6115df6ccd818e5a01298cd230b2dac91c8ff2e6499d18765d" }
+wheels = [
+    { url = "https://mirrors.aliyun.com/pypi/packages/44/02/53f0cf0bf0cd629ba6c2cc13f2f9db24323459e9c19463783d890a540a96/datrie-0.8.2-pp273-pypy_73-win32.whl", hash = "sha256:b07bd5fdfc3399a6dab86d6e35c72b1dbd598e80c97509c7c7518ab8774d3fda" },
+]
 
 [[package]]
 name = "decorator"
@@ -1183,16 +1189,16 @@ wheels = [
 
 [[package]]
 name = "duckduckgo-search"
-version = "7.5.0"
+version = "7.5.1"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
     { name = "click" },
     { name = "lxml" },
     { name = "primp" },
 ]
-sdist = { url = "https://mirrors.aliyun.com/pypi/packages/17/a8/18404f6525aefa80290afa920ed76fbab16472f19015fdb957b7113f3a9e/duckduckgo_search-7.5.0.tar.gz", hash = "sha256:3e28dc5ec9188efa3a7c8532aa05aaf03bb34b79370855760abd55e6051ff79b" }
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/92/82/ad9c916cb72aa35383ee6722d03a5f10581270abb269325e597923e325df/duckduckgo_search-7.5.1.tar.gz", hash = "sha256:54d18bfcda75c485232a868552bea1cc7c52d82472a73f0c7791613e98d32137" }
 wheels = [
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+    { url = "https://mirrors.aliyun.com/pypi/packages/dd/c1/61db65e96cb4d7834e9973d8c8202c8e7c21611c0e84261ac82bcf88e954/duckduckgo_search-7.5.1-py3-none-any.whl", hash = "sha256:66edb228eed4a32d1f8437ce1d0ff9468f9eba6678c1685e7b43e80156cdc66e" },
 ]
 
 [[package]]
@@ -1360,17 +1366,17 @@ name = "fastembed-gpu"
 version = "0.3.6"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
-    { name = "huggingface-hub", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "loguru", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "mmh3", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "numpy", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "onnxruntime-gpu", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "pillow", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "pystemmer", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "requests", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "snowballstemmer", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "tokenizers", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
-    { name = "tqdm", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "huggingface-hub" },
+    { name = "loguru" },
+    { name = "mmh3" },
+    { name = "numpy" },
+    { name = "onnxruntime-gpu" },
+    { name = "pillow" },
+    { name = "pystemmer" },
+    { name = "requests" },
+    { name = "snowballstemmer" },
+    { name = "tokenizers" },
+    { name = "tqdm" },
 ]
 sdist = { url = "https://mirrors.aliyun.com/pypi/packages/da/07/7336c7f3d7ee47f33b407eeb50f5eeb152889de538a52a8f1cc637192816/fastembed_gpu-0.3.6.tar.gz", hash = "sha256:ee2de8918b142adbbf48caaffec0c492f864d73c073eea5a3dcd0e8c1041c50d" }
 wheels = [
@@ -1705,7 +1711,7 @@ wheels = [
 
 [[package]]
 name = "google-api-core"
-version = "2.24.1"
+version = "2.24.2"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
     { name = "google-auth" },
@@ -1714,9 +1720,9 @@ dependencies = [
     { name = "protobuf" },
     { name = "requests" },
 ]
-sdist = { url = "https://mirrors.aliyun.com/pypi/packages/b8/b7/481c83223d7b4f02c7651713fceca648fa3336e1571b9804713f66bca2d8/google_api_core-2.24.1.tar.gz", hash = "sha256:f8b36f5456ab0dd99a1b693a40a31d1e7757beea380ad1b38faaf8941eae9d8a" }
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/09/5c/085bcb872556934bb119e5e09de54daa07873f6866b8f0303c49e72287f7/google_api_core-2.24.2.tar.gz", hash = "sha256:81718493daf06d96d6bc76a91c23874dbf2fac0adbbf542831b805ee6e974696" }
 wheels = [
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+    { url = "https://mirrors.aliyun.com/pypi/packages/46/95/f472d85adab6e538da2025dfca9e976a0d125cc0af2301f190e77b76e51c/google_api_core-2.24.2-py3-none-any.whl", hash = "sha256:810a63ac95f3c441b7c0e43d344e372887f62ce9071ba972eacf32672e072de9" },
 ]
 
 [package.optional-dependencies]
@@ -1727,7 +1733,7 @@ grpc = [
 
 [[package]]
 name = "google-api-python-client"
-version = "2.162.0"
+version = "2.163.0"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
     { name = "google-api-core" },
@@ -1736,9 +1742,9 @@ dependencies = [
     { name = "httplib2" },
     { name = "uritemplate" },
 ]
-sdist = { url = "https://mirrors.aliyun.com/pypi/packages/73/d0/4a82e36c514437fa977d9b24f15328cd4505a0d92fcab9a18c81210b0f72/google_api_python_client-2.162.0.tar.gz", hash = "sha256:5f8bc934a5b6eea73a7d12d999e6585c1823179f48340234acb385e2502e735a" }
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/29/9f/535346bb1469ec91139c38f0438ad70bd229a6b11452367065fe49303860/google_api_python_client-2.163.0.tar.gz", hash = "sha256:88dee87553a2d82176e2224648bf89272d536c8f04dcdda37ef0a71473886dd7" }
 wheels = [
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+    { url = "https://mirrors.aliyun.com/pypi/packages/91/3d/203d1c18cb239313ac125721f284e94c01c7eee947adb2ef2d9a85ac8d66/google_api_python_client-2.163.0-py2.py3-none-any.whl", hash = "sha256:080e8bc0669cb4c1fb8efb8da2f5b91a2625d8f0e7796cfad978f33f7016c6c4" },
 ]
 
 [[package]]
@@ -1810,15 +1816,15 @@ wheels = [
 
 [[package]]
 name = "google-cloud-core"
-version = "2.4.2"
+version = "2.4.3"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
     { name = "google-api-core" },
     { name = "google-auth" },
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+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/d6/b8/2b53838d2acd6ec6168fd284a990c76695e84c65deee79c9f3a4276f6b4f/google_cloud_core-2.4.3.tar.gz", hash = "sha256:1fab62d7102844b278fe6dead3af32408b1df3eb06f5c7e8634cbd40edc4da53" }
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+    { url = "https://mirrors.aliyun.com/pypi/packages/40/86/bda7241a8da2d28a754aad2ba0f6776e35b67e37c36ae0c45d49370f1014/google_cloud_core-2.4.3-py2.py3-none-any.whl", hash = "sha256:5130f9f4c14b4fafdff75c79448f9495cfade0d8775facf1b09c3bf67e027f6e" },
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 [[package]]
@@ -1921,14 +1927,14 @@ sdist = { url = "https://mirrors.aliyun.com/pypi/packages/77/30/b3a6f6a2e00f8153
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.68.0"
+version = "1.69.1"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
     { name = "protobuf" },
 ]
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+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/41/4f/d8be74b88621131dfd1ed70e5aff2c47f2bdf2289a70736bbf3eb0e7bc70/googleapis_common_protos-1.69.1.tar.gz", hash = "sha256:e20d2d8dda87da6fe7340afbbdf4f0bcb4c8fae7e6cadf55926c31f946b0b9b1" }
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+    { url = "https://mirrors.aliyun.com/pypi/packages/16/cb/2f4aa605b16df1e031dd7c322c597613eef933e8dd5b6a4414330b21e791/googleapis_common_protos-1.69.1-py2.py3-none-any.whl", hash = "sha256:4077f27a6900d5946ee5a369fab9c8ded4c0ef1c6e880458ea2f70c14f7b70d5" },
 ]
 
 [package.optional-dependencies]
@@ -2040,65 +2046,68 @@ wheels = [
 
 [[package]]
 name = "grpc-google-iam-v1"
-version = "0.14.0"
+version = "0.14.1"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
     { name = "googleapis-common-protos", extra = ["grpc"] },
     { name = "grpcio" },
     { name = "protobuf" },
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+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/55/bc/310df38bfb67a5504d37dfcc370afd478cd8ccbf207057dd6f68e2e6350d/grpc_google_iam_v1-0.14.1.tar.gz", hash = "sha256:14149f37af0e5779fa8a22a8ae588663269e8a479d9c2e69a5056e589bf8a891" }
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+    { url = "https://mirrors.aliyun.com/pypi/packages/18/c1/00672fe34c8e7abe4e4956774daed7bfcf5805341dcb103457922f6ef83c/grpc_google_iam_v1-0.14.1-py2.py3-none-any.whl", hash = "sha256:b4eca35b2231dd76066ebf1728f3cd30d51034db946827ef63ef138da14eea16" },
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 [[package]]
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 dependencies = [
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@@ -4958,7 +4970,6 @@ requires-dist = [
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 [[package]]
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 [[package]]