Fix docker file bugs (#2662)

### What problem does this PR solve? Fix docker file bugs ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] Documentation Update --------- Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-08-12 03:39:03 +08:00 · 2024-09-29 18:24:24 +08:00 · 2024-09-29 18:24:24 +08:00 · f98ec9034f
commit f98ec9034f
parent 4b8ecba32b
21 changed files with 66 additions and 324 deletions
--- a/6
+++ b/6
@ -16,11 +16,13 @@ RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
 RUN  sed -i 's|http://archive.ubuntu.com|https://mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list.d/ubuntu.sources

 RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
-    apt update && apt install -y curl libpython3-dev nginx libglib2.0-0 libglx-mesa0 \
+    apt update && apt install -y curl libpython3-dev nginx libglib2.0-0 libglx-mesa0 pkg-config libicu-dev libgdiplus \
    && rm -rf /var/lib/apt/lists/* \
    && curl -sSL https://install.python-poetry.org | python3 -

-ENV PYTHONDONTWRITEBYTECODE=1 LD_LIBRARY_PATH=usr/lib/x86_64-linux-gnu/openmpi/lib:$LD_LIBRARY_PATH
+RUN curl -o libssl1.deb http://archive.ubuntu.com/ubuntu/pool/main/o/openssl1.0/libssl1.0.0_1.0.2n-1ubuntu5_amd64.deb && dpkg -i libssl1.deb && rm -f libssl1.deb
+
+ENV PYTHONDONTWRITEBYTECODE=1 DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=1

 # Configure Poetry
 ENV POETRY_NO_INTERACTION=1
--- a/Dockerfile.arm
+++ b/Dockerfile.arm
@ -1,43 +0,0 @@
-FROM python:3.11
-USER  root
-
-WORKDIR /ragflow
-
-COPY requirements_arm.txt /ragflow/requirements.txt
-
-
-RUN pip install nltk --default-timeout=10000
-
-RUN pip install -i https://mirrors.aliyun.com/pypi/simple/ --default-timeout=1000 -r requirements.txt &&\
-python -c "import nltk;nltk.download('punkt');nltk.download('wordnet')"
-
-RUN apt-get update && \
-    apt-get install -y curl gnupg && \
-    rm -rf /var/lib/apt/lists/*
-
-RUN curl -sL https://deb.nodesource.com/setup_20.x | bash - && \
-    apt-get install -y --fix-missing nodejs nginx ffmpeg libsm6 libxext6 libgl1
-
-RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
-ENV PATH="/root/.cargo/bin:${PATH}"
-
-RUN pip install graspologic
-
-ADD ./web ./web
-RUN cd ./web && npm i --force && npm run build
-
-ADD ./api ./api
-ADD ./conf ./conf
-ADD ./deepdoc ./deepdoc
-ADD ./rag ./rag
-ADD ./agent ./agent
-ADD ./graphrag ./graphrag
-
-ENV PYTHONPATH=/ragflow/
-ENV HF_ENDPOINT=https://hf-mirror.com
-
-ADD docker/entrypoint.sh ./entrypoint.sh
-ADD docker/.env ./
-RUN chmod +x ./entrypoint.sh
-
-ENTRYPOINT ["./entrypoint.sh"]
--- a/Dockerfile.cuda
+++ b/Dockerfile.cuda
@ -1,27 +0,0 @@
-FROM infiniflow/ragflow-base:v2.0
-USER  root
-
-WORKDIR /ragflow
-
-## for cuda > 12.0
-RUN pip uninstall -y onnxruntime-gpu
-RUN pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
-
-
-ADD ./web ./web
-RUN cd ./web && npm i --force && npm run build
-
-ADD ./api ./api
-ADD ./conf ./conf
-ADD ./deepdoc ./deepdoc
-ADD ./rag ./rag
-ADD ./agent ./agent
-ADD ./graphrag ./graphrag
-
-ENV PYTHONPATH=/ragflow/
-ENV HF_ENDPOINT=https://hf-mirror.com
-
-ADD docker/entrypoint.sh ./entrypoint.sh
-RUN chmod +x ./entrypoint.sh
-
-ENTRYPOINT ["./entrypoint.sh"]
--- a/Dockerfile.scratch.oc9
+++ b/Dockerfile.scratch.oc9
@ -1,58 +0,0 @@
-FROM opencloudos/opencloudos:9.0
-USER root
-
-WORKDIR /ragflow
-
-RUN dnf update -y && dnf install -y wget curl gcc-c++ openmpi-devel
-
-RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \
-    bash ~/miniconda.sh -b -p /root/miniconda3 && \
-    rm ~/miniconda.sh && ln -s /root/miniconda3/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
-    echo ". /root/miniconda3/etc/profile.d/conda.sh" >> ~/.bashrc && \
-    echo "conda activate base" >> ~/.bashrc
-
-ENV PATH /root/miniconda3/bin:$PATH
-
-RUN conda create -y --name py11 python=3.11
-
-ENV CONDA_DEFAULT_ENV py11
-ENV CONDA_PREFIX /root/miniconda3/envs/py11
-ENV PATH $CONDA_PREFIX/bin:$PATH
-
-# RUN curl -sL https://rpm.nodesource.com/setup_14.x | bash -
-RUN dnf install -y nodejs
-
-RUN dnf install -y nginx
-
-ADD ./web ./web
-ADD ./api ./api
-ADD ./conf ./conf
-ADD ./deepdoc ./deepdoc
-ADD ./rag ./rag
-ADD ./requirements.txt ./requirements.txt
-ADD ./agent ./agent
-ADD ./graphrag ./graphrag
-
-RUN dnf install -y openmpi openmpi-devel python3-openmpi
-ENV C_INCLUDE_PATH /usr/include/openmpi-x86_64:$C_INCLUDE_PATH
-ENV LD_LIBRARY_PATH /usr/lib64/openmpi/lib:$LD_LIBRARY_PATH
-RUN rm /root/miniconda3/envs/py11/compiler_compat/ld
-RUN cd ./web && npm i --force && npm run build
-RUN conda run -n py11 pip install $(grep -ivE "mpi4py" ./requirements.txt) # without mpi4py==3.1.5
-RUN conda run -n py11 pip install redis
-
-RUN dnf update -y && \
-    dnf install -y glib2 mesa-libGL && \
-    dnf clean all
-
-RUN conda run -n py11 pip install ollama
-RUN conda run -n py11 python -m nltk.downloader punkt
-RUN conda run -n py11 python -m nltk.downloader wordnet
-
-ENV PYTHONPATH=/ragflow/
-ENV HF_ENDPOINT=https://hf-mirror.com
-
-ADD docker/entrypoint.sh ./entrypoint.sh
-RUN chmod +x ./entrypoint.sh
-
-ENTRYPOINT ["./entrypoint.sh"]
--- a/Dockerfile.slim
+++ b/Dockerfile.slim
@ -16,11 +16,13 @@ RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
 RUN  sed -i 's|http://archive.ubuntu.com|https://mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list.d/ubuntu.sources

 RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
-    apt update && apt install -y curl libpython3-dev nginx libglib2.0-0 libglx-mesa0 \
+    apt update && apt install -y curl libpython3-dev nginx libglib2.0-0 libglx-mesa0 pkg-config libicu-dev libgdiplus \
    && rm -rf /var/lib/apt/lists/* \
    && curl -sSL https://install.python-poetry.org | python3 -

-ENV PYTHONDONTWRITEBYTECODE=1 LD_LIBRARY_PATH=usr/lib/x86_64-linux-gnu/openmpi/lib:$LD_LIBRARY_PATH
+RUN curl -o libssl1.deb http://archive.ubuntu.com/ubuntu/pool/main/o/openssl1.0/libssl1.0.0_1.0.2n-1ubuntu5_amd64.deb && dpkg -i libssl1.deb && rm -f libssl1.deb
+
+ENV PYTHONDONTWRITEBYTECODE=1 DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=1

 # Configure Poetry
 ENV POETRY_NO_INTERACTION=1
@ -72,6 +74,14 @@ COPY agent agent
 COPY graphrag graphrag
 COPY pyproject.toml poetry.toml poetry.lock ./

+# Copy models downloaded via download_deps.py
+RUN mkdir -p /ragflow/rag/res/deepdoc /root/.ragflow
+RUN --mount=type=bind,source=huggingface.io,target=/huggingface.io \
+    tar --exclude='.*' -cf - \
+        /huggingface.io/InfiniFlow/text_concat_xgb_v1.0 \
+        /huggingface.io/InfiniFlow/deepdoc \
+        | tar -xf - --strip-components=3 -C /ragflow/rag/res/deepdoc
+
 # Copy compiled web pages
 COPY --from=builder /ragflow/web/dist /ragflow/web/dist

--- a/README.md
+++ b/README.md
@ -152,7 +152,7 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
   ```

 3. Build the pre-built Docker images and start up the server:
-   > Running the following commands automatically downloads the *dev* version RAGFlow Docker image. To download and run a specified Docker version, update `RAGFLOW_VERSION` in **docker/.env** to the intended version, for example `RAGFLOW_VERSION=v0.12.0`, before running the following commands.
+   > Running the following commands automatically downloads the *dev* version RAGFlow Docker image. To download and run a specified Docker version, update `RAGFLOW_IMAGE` in **docker/.env** to the intended version, for example `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0`, before running the following commands.

   ```bash
   $ cd ragflow/docker
--- a/README_ja.md
+++ b/README_ja.md
@ -140,7 +140,7 @@
   $ docker compose up -d
   ```

-   > 上記のコマンドを実行すると、RAGFlowの開発版dockerイメージが自動的にダウンロードされます。 特定のバージョンのDockerイメージをダウンロードして実行したい場合は、docker/.envファイルのRAGFLOW_VERSION変数を見つけて、対応するバージョンに変更してください。 例えば、RAGFLOW_VERSION=v0.12.0として、上記のコマンドを実行してください。
+   > 上記のコマンドを実行すると、RAGFlowの開発版dockerイメージが自動的にダウンロードされます。 特定のバージョンのDockerイメージをダウンロードして実行したい場合は、docker/.envファイルのRAGFLOW_IMAGE変数を見つけて、対応するバージョンに変更してください。 例えば、`RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0`として、上記のコマンドを実行してください。

   > コアイメージのサイズは約 9 GB で、ロードに時間がかかる場合があります。

--- a/README_ko.md
+++ b/README_ko.md
@ -140,7 +140,7 @@

 3. 미리 빌드된 Docker 이미지를 생성하고 서버를 시작하세요:

-   > 다음 명령어를 실행하면 *dev* 버전의 RAGFlow Docker 이미지가 자동으로 다운로드됩니다. 특정 Docker 버전을 다운로드하고 실행하려면, **docker/.env** 파일에서 `RAGFLOW_VERSION`을 원하는 버전으로 업데이트한 후, 예를 들어 `RAGFLOW_VERSION=v0.12.0`로 업데이트 한 뒤, 다음 명령어를 실행하세요.
+   > 다음 명령어를 실행하면 *dev* 버전의 RAGFlow Docker 이미지가 자동으로 다운로드됩니다. 특정 Docker 버전을 다운로드하고 실행하려면, **docker/.env** 파일에서 `RAGFLOW_IMAGE`을 원하는 버전으로 업데이트한 후, 예를 들어 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0`로 업데이트 한 뒤, 다음 명령어를 실행하세요.
   ```bash
   $ cd ragflow/docker
   $ chmod +x ./entrypoint.sh
--- a/README_zh.md
+++ b/README_zh.md
@ -135,10 +135,10 @@
   ```bash
   $ cd ragflow/docker
   $ chmod +x ./entrypoint.sh
-   $ docker compose -f docker-compose-CN.yml up -d
+   $ docker compose -f docker-compose.yml up -d
   ```

-   > 请注意，运行上述命令会自动下载 RAGFlow 的开发版本 docker 镜像。如果你想下载并运行特定版本的 docker 镜像，请在 docker/.env 文件中找到 RAGFLOW_VERSION 变量，将其改为对应版本。例如 RAGFLOW_VERSION=v0.12.0，然后运行上述命令。
+   > 请注意，运行上述命令会自动下载 RAGFlow 的开发版本 docker 镜像。如果你想下载并运行特定版本的 docker 镜像，请在 docker/.env 文件中找到 RAGFLOW_IMAGE 变量，将其改为对应版本。例如 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0`，然后运行上述命令。

   > 核心镜像下载大小为 9 GB，可能需要一定时间拉取。请耐心等待。

@ -178,18 +178,20 @@

 - [.env](./docker/.env)：存放一些基本的系统环境变量，比如 `SVR_HTTP_PORT`、`MYSQL_PASSWORD`、`MINIO_PASSWORD` 等。
 - [service_conf.yaml](./docker/service_conf.yaml)：配置各类后台服务。
- [docker-compose-CN.yml](./docker/docker-compose-CN.yml): 系统依赖该文件完成启动。
+- [docker-compose.yml](./docker/docker-compose.yml): 系统依赖该文件完成启动。

 请务必确保 [.env](./docker/.env) 文件中的变量设置与 [service_conf.yaml](./docker/service_conf.yaml) 文件中的配置保持一致！

+如果不能访问镜像站点hub.docker.com或者模型站点huggingface.io，请按照[.env](./docker/.env)注释修改`RAGFLOW_IMAGE`和`HF_ENDPOINT`。
+
 > [./docker/README](./docker/README.md) 文件提供了环境变量设置和服务配置的详细信息。请**一定要**确保 [./docker/README](./docker/README.md) 文件当中列出来的环境变量的值与 [service_conf.yaml](./docker/service_conf.yaml) 文件当中的系统配置保持一致。

-如需更新默认的 HTTP 服务端口(80), 可以在 [docker-compose-CN.yml](./docker/docker-compose-CN.yml) 文件中将配置 `80:80` 改为 `<YOUR_SERVING_PORT>:80`。
+如需更新默认的 HTTP 服务端口(80), 可以在 [docker-compose.yml](./docker/docker-compose.yml) 文件中将配置 `80:80` 改为 `<YOUR_SERVING_PORT>:80`。

 > 所有系统配置都需要通过系统重启生效：
 >
 > ```bash
-> $ docker compose -f docker-compose-CN.yml up -d
+> $ docker compose -f docker-compose.yml up -d
 > ```

 ## 🪛 源码编译 Docker 镜像（不含 embedding 模型）
--- a/api/versions.py
+++ b/api/versions.py
@ -13,10 +13,8 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 #
-import os
 import dotenv
 import typing
-from api.utils.file_utils import get_project_base_directory


 def get_versions() -> typing.Mapping[str, typing.Any]:
@ -25,4 +23,4 @@ def get_versions() -> typing.Mapping[str, typing.Any]:


 def get_rag_version() -> typing.Optional[str]:
-    return get_versions().get("RAGFLOW_VERSION", "dev")
+    return get_versions().get("RAGFLOW_IMAGE", "infiniflow/ragflow:dev").split(":")[-1]
--- a/docker/.env
+++ b/docker/.env
@ -33,12 +33,16 @@ REDIS_PASSWORD=infini_rag_flow

 SVR_HTTP_PORT=9380

-RAGFLOW_VERSION=dev-slim
+RAGFLOW_IMAGE=infiniflow/ragflow:dev-slim
+
+# If inside mainland China, decomment either of the following hub.docker.com mirrors:
+# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev-slim
+# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:dev-slim

 TIMEZONE='Asia/Shanghai'

-# Inside GFW, we need the following huggingface.co mirror:
-HF_ENDPOINT=https://hf-mirror.com
+# If inside mainland China, decomment the following huggingface.co mirror:
+# HF_ENDPOINT=https://hf-mirror.com

 ######## OS setup for ES ###########
 # sysctl vm.max_map_count
--- a/docker/docker-compose-CN-oc9.yml
+++ b/docker/docker-compose-CN-oc9.yml
@ -1,30 +0,0 @@
-include:
-  - path: ./docker-compose-base.yml
-    env_file: ./.env
-
-services:
-   ragflow:
-    depends_on:
-      mysql:
-        condition: service_healthy
-      es01:
-        condition: service_healthy
-    image: edwardelric233/ragflow:oc9
-    container_name: ragflow-server
-    ports:
-      - ${SVR_HTTP_PORT}:9380
-      - 80:80
-      - 443:443
-    volumes:
-      - ./service_conf.yaml:/ragflow/conf/service_conf.yaml
-      - ./ragflow-logs:/ragflow/logs
-      - ./nginx/ragflow.conf:/etc/nginx/conf.d/ragflow.conf
-      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
-      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
-    environment:
-      - TZ=${TIMEZONE}
-      - HF_ENDPOINT=https://hf-mirror.com
-      - MACOS=${MACOS}
-    networks:
-      - ragflow
-    restart: always
--- a/docker/docker-compose-CN.yml
+++ b/docker/docker-compose-CN.yml
@ -1,30 +0,0 @@
-include:
-  - path: ./docker-compose-base.yml
-    env_file: ./.env
-
-services:
-   ragflow:
-    depends_on:
-      mysql:
-        condition: service_healthy
-      es01:
-        condition: service_healthy
-    image: swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:${RAGFLOW_VERSION}
-    container_name: ragflow-server
-    ports:
-      - ${SVR_HTTP_PORT}:9380
-      - 80:80
-      - 443:443
-    volumes:
-      - ./service_conf.yaml:/ragflow/conf/service_conf.yaml
-      - ./ragflow-logs:/ragflow/logs
-      - ./nginx/ragflow.conf:/etc/nginx/conf.d/ragflow.conf
-      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
-      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
-    environment:
-      - TZ=${TIMEZONE}
-      - HF_ENDPOINT=https://hf-mirror.com
-      - MACOS=${MACOS}
-    networks:
-      - ragflow
-    restart: always
--- a/docker/docker-compose-gpu-CN-oc9.yml
+++ b/docker/docker-compose-gpu-CN-oc9.yml
@ -1,37 +0,0 @@
-include:
-  - path: ./docker-compose-base.yml
-    env_file: ./.env
-
-services:
-   ragflow:
-    depends_on:
-      mysql:
-        condition: service_healthy
-      es01:
-        condition: service_healthy
-    image: edwardelric233/ragflow:oc9
-    container_name: ragflow-server
-    ports:
-      - ${SVR_HTTP_PORT}:9380
-      - 80:80
-      - 443:443
-    volumes:
-      - ./service_conf.yaml:/ragflow/conf/service_conf.yaml
-      - ./ragflow-logs:/ragflow/logs
-      - ./nginx/ragflow.conf:/etc/nginx/conf.d/ragflow.conf
-      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
-      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
-    environment:
-      - TZ=${TIMEZONE}
-      - HF_ENDPOINT=https://hf-mirror.com
-      - MACOS=${MACOS}
-    networks:
-      - ragflow
-    restart: always
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: all
-              capabilities: [gpu]
--- a/docker/docker-compose-gpu-CN.yml
+++ b/docker/docker-compose-gpu-CN.yml
@ -1,37 +0,0 @@
-include:
-  - path: ./docker-compose-base.yml
-    env_file: ./.env
-
-services:
-   ragflow:
-    depends_on:
-      mysql:
-        condition: service_healthy
-      es01:
-        condition: service_healthy
-    image: swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:${RAGFLOW_VERSION}
-    container_name: ragflow-server
-    ports:
-      - ${SVR_HTTP_PORT}:9380
-      - 80:80
-      - 443:443
-    volumes:
-      - ./service_conf.yaml:/ragflow/conf/service_conf.yaml
-      - ./ragflow-logs:/ragflow/logs
-      - ./nginx/ragflow.conf:/etc/nginx/conf.d/ragflow.conf
-      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
-      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
-    environment:
-      - TZ=${TIMEZONE}
-      - HF_ENDPOINT=https://hf-mirror.com
-      - MACOS=${MACOS}
-    networks:
-      - ragflow
-    restart: always
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: all
-              capabilities: [gpu]
--- a/docker/docker-compose-gpu.yml
+++ b/docker/docker-compose-gpu.yml
@ -9,7 +9,7 @@ services:
        condition: service_healthy
      es01:
        condition: service_healthy
-    image: infiniflow/ragflow:${RAGFLOW_VERSION}
+    image: ${RAGFLOW_IMAGE}
    container_name: ragflow-server
    ports:
      - ${SVR_HTTP_PORT}:9380
--- a/docker/docker-compose.yml
+++ b/docker/docker-compose.yml
@ -9,7 +9,7 @@ services:
        condition: service_healthy
      es01:
        condition: service_healthy
-    image: infiniflow/ragflow:${RAGFLOW_VERSION}
+    image: ${RAGFLOW_IMAGE}
    container_name: ragflow-server
    ports:
      - ${SVR_HTTP_PORT}:9380
--- a/docs/quickstart.mdx
+++ b/docs/quickstart.mdx
@ -177,7 +177,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If

 3. Build the pre-built Docker images and start up the server:

-   > Running the following commands automatically downloads the *dev* version RAGFlow Docker image. To download and run a specified Docker version, update `RAGFLOW_VERSION` in **docker/.env** to the intended version, for example `RAGFLOW_VERSION=v0.12.0`, before running the following commands.
+   > Running the following commands automatically downloads the *dev* version RAGFlow Docker image. To download and run a specified Docker version, update `RAGFLOW_IMAGE` in **docker/.env** to the intended version, for example `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0`, before running the following commands.

   ```bash
   $ cd ragflow/docker
--- a/docs/references/faq.md
+++ b/docs/references/faq.md
@ -407,49 +407,25 @@ You can upgrade RAGFlow to either the dev version or the latest version:

 To upgrade RAGFlow to the dev version:

-1. Pull the latest source code
+Update the RAGFlow image and restart RAGFlow:
+1. Update **ragflow/docker/.env** as follows:
   ```bash
-   cd ragflow
-   git pull
+   RAGFLOW_IMAGE=infiniflow/ragflow:dev
   ```
-2. If you used `docker compose up -d` to start up RAGFlow server:
+2. Update ragflow image and restart ragflow:
   ```bash
-   docker pull infiniflow/ragflow:dev
-   ```
-   ```bash
-   docker compose up ragflow -d
-   ```
-3. If you used `docker compose -f docker-compose-CN.yml up -d` to start up RAGFlow server:
-   ```bash
-   docker pull swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev
-   ```
-   ```bash
-   docker compose -f docker-compose-CN.yml up -d
+   docker compose -f docker/docker-compose.yml pull
+   docker compose -f docker/docker-compose.yml up -d
   ```
   
 To upgrade RAGFlow to the latest version:

 1. Update **ragflow/docker/.env** as follows:
   ```bash
-   RAGFLOW_VERSION=latest
+   RAGFLOW_IMAGE=infiniflow/ragflow:latest
   ```
-2. Pull the latest source code:
+2. Update the RAGFlow image and restart RAGFlow:
   ```bash
-   cd ragflow
-   git pull
+   docker compose -f docker/docker-compose.yml pull
+   docker compose -f docker/docker-compose.yml up -d
   ```   
-
-3. If you used `docker compose up -d` to start up RAGFlow server:
-   ```bash
-   docker pull infiniflow/ragflow:latest
-   ```
-   ```bash
-   docker compose up ragflow -d
-   ```
-4. If you used `docker compose -f docker-compose-CN.yml up -d` to start up RAGFlow server:
-   ```bash
-   docker pull swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:latest
-   ```
-   ```bash
-   docker compose -f docker-compose-CN.yml up -d
-   ```
--- a/poetry.lock
+++ b/poetry.lock
@ -6016,6 +6016,16 @@ files = [
 [package.extras]
 windows-terminal = ["colorama (>=0.4.6)"]

+[[package]]
+name = "pyicu"
+version = "2.13.1"
+description = "Python extension wrapping the ICU C++ API"
+optional = false
+python-versions = "*"
+files = [
+    {file = "PyICU-2.13.1.tar.gz", hash = "sha256:d4919085eaa07da12bade8ee721e7bbf7ade0151ca0f82946a26c8f4b98cdceb"},
+]
+
 [[package]]
 name = "pyjwt"
 version = "2.8.0"
@ -6262,18 +6272,19 @@ cli = ["click (>=5.0)"]

 [[package]]
 name = "python-pptx"
-version = "0.6.23"
-description = "Generate and manipulate Open XML PowerPoint (.pptx) files"
+version = "1.0.2"
+description = "Create, read, and update PowerPoint 2007+ (.pptx) files."
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "python-pptx-0.6.23.tar.gz", hash = "sha256:587497ff28e779ab18dbb074f6d4052893c85dedc95ed75df319364f331fedee"},
-    {file = "python_pptx-0.6.23-py3-none-any.whl", hash = "sha256:dd0527194627a2b7cc05f3ba23ecaa2d9a0d5ac9b6193a28ed1b7a716f4217d4"},
+    {file = "python_pptx-1.0.2-py3-none-any.whl", hash = "sha256:160838e0b8565a8b1f67947675886e9fea18aa5e795db7ae531606d68e785cba"},
+    {file = "python_pptx-1.0.2.tar.gz", hash = "sha256:479a8af0eaf0f0d76b6f00b0887732874ad2e3188230315290cd1f9dd9cc7095"},
 ]

 [package.dependencies]
 lxml = ">=3.1.0"
 Pillow = ">=3.3.2"
+typing-extensions = ">=4.9.0"
 XlsxWriter = ">=0.5.7"

 [[package]]
@ -8779,4 +8790,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.12,<3.13"
-content-hash = "c4a92e4121eae4f793268ddfe1e31bdff9c7f0724dbfba850dad58b72f19dabb"
+content-hash = "84aaaf574297e9683b944e09d6c0b2dd42075a2f4b9959fa74852a907c119483"
--- a/pyproject.toml
+++ b/pyproject.toml
@ -72,7 +72,7 @@ pypdf = "^5.0.0"
 pytest = "8.2.2"
 python-dotenv = "1.0.1"
 python-dateutil = "2.8.2"
-python-pptx = "0.6.23"
+python-pptx = "^1.0.2"
 pywencai = "0.12.2"
 qianfan = "0.4.6"
 ranx = "0.3.20"
@ -112,6 +112,7 @@ pypdf2 = "^3.0.1"
 graspologic = "^3.4.1"
 pymysql = "^1.1.1"
 mini-racer = "^0.12.4"
+pyicu = "^2.13.1"


 [tool.poetry.group.full]