docker.io/infiniflow/ragflow:v0.15.1-slim linux/amd64

docker.io/infiniflow/ragflow:v0.15.1-slim - 国内下载镜像源 浏览次数:64
RagFlow 是 InfiniFlow 提供的一款流计算平台容器镜像。该容器镜像主要用于处理大规模数据流计算和实时数据处理等场景。RagFlow 提供了灵活的事件驱动模型,可以轻松地处理海量数据,并提供高性能、高可靠性和低延迟的数据处理体验。

RagFlow is a stream processing platform container image provided by InfiniFlow. This container image is mainly used for handling large-scale data streams and real-time data processing scenarios. RagFlow provides flexible event-driven models, making it easy to handle massive amounts of data while offering high performance, high reliability, and low latency data processing experiences.

源镜像 docker.io/infiniflow/ragflow:v0.15.1-slim
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim
镜像ID sha256:3b681fbc7778698b4306faac426d58c76021b6b52fa7f94590375516c18b1151
镜像TAG v0.15.1-slim
大小 6.15GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 ./entrypoint.sh
工作目录 /ragflow
OS/平台 linux/amd64
浏览量 64 次
贡献者
镜像创建 2024-12-25T06:50:42.852078216Z
同步时间 2024-12-27 15:36
更新时间 2025-01-18 12:18
环境变量
PATH=/ragflow/.venv/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LIGHTEN=1 TIKA_SERVER_JAR=file:///ragflow/tika-server-standard-3.0.0.jar DEBIAN_FRONTEND=noninteractive PYTHONDONTWRITEBYTECODE=1 DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=1 POETRY_NO_INTERACTION=1 POETRY_VIRTUALENVS_IN_PROJECT=true POETRY_VIRTUALENVS_CREATE=true POETRY_REQUESTS_TIMEOUT=15 VIRTUAL_ENV=/ragflow/.venv PYTHONPATH=/ragflow/
镜像标签
ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2024-12-27 15:38

低危漏洞:203 中危漏洞:750 高危漏洞:9 严重漏洞:0

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim  docker.io/infiniflow/ragflow:v0.15.1-slim

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim  docker.io/infiniflow/ragflow:v0.15.1-slim

Shell快速替换命令

sed -i 's#infiniflow/ragflow:v0.15.1-slim#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim  docker.io/infiniflow/ragflow:v0.15.1-slim'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim  docker.io/infiniflow/ragflow:v0.15.1-slim'

镜像构建历史


# 2024-12-25 14:50:42  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["./entrypoint.sh"]
                        
# 2024-12-25 14:50:42  13.00B 复制新文件或目录到容器中
COPY /ragflow/VERSION /ragflow/VERSION # buildkit
                        
# 2024-12-25 14:50:42  110.22MB 复制新文件或目录到容器中
COPY /ragflow/web/dist /ragflow/web/dist # buildkit
                        
# 2024-12-25 14:50:41  0.00B 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c chmod +x ./entrypoint.sh # buildkit
                        
# 2024-12-25 14:50:41  841.00B 复制新文件或目录到容器中
COPY docker/entrypoint.sh ./entrypoint.sh # buildkit
                        
# 2024-12-25 14:50:41  2.10KB 复制新文件或目录到容器中
COPY docker/service_conf.yaml.template ./conf/service_conf.yaml.template # buildkit
                        
# 2024-12-25 14:50:41  871.71KB 复制新文件或目录到容器中
COPY pyproject.toml poetry.toml poetry.lock ./ # buildkit
                        
# 2024-12-25 14:50:41  107.13KB 复制新文件或目录到容器中
COPY graphrag graphrag # buildkit
                        
# 2024-12-25 14:50:41  968.48KB 复制新文件或目录到容器中
COPY agent agent # buildkit
                        
# 2024-12-25 14:50:41  9.31MB 复制新文件或目录到容器中
COPY rag rag # buildkit
                        
# 2024-12-25 14:50:41  1.62MB 复制新文件或目录到容器中
COPY deepdoc deepdoc # buildkit
                        
# 2024-12-25 14:50:41  99.62KB 复制新文件或目录到容器中
COPY conf conf # buildkit
                        
# 2024-12-25 14:50:41  536.71KB 复制新文件或目录到容器中
COPY api api # buildkit
                        
# 2024-12-25 14:50:41  44.65MB 复制新文件或目录到容器中
COPY web web # buildkit
                        
# 2024-12-25 14:50:39  0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=/ragflow/
                        
# 2024-12-25 14:50:39  0.00B 设置环境变量 PATH
ENV PATH=/ragflow/.venv/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-12-25 14:50:39  2.99GB 复制新文件或目录到容器中
COPY /ragflow/.venv /ragflow/.venv # buildkit
                        
# 2024-12-25 14:41:21  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/ragflow/.venv
                        
# 2024-12-25 14:41:21  0.00B 设置工作目录为/ragflow
WORKDIR /ragflow
                        
# 2024-12-25 14:41:21  0.00B 指定运行容器时使用的用户
USER root
                        
# 2024-12-25 14:41:21  7.21MB 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c if [ "$(uname -m)" = "x86_64" ]; then         dpkg -i /deps/libssl1.1_1.1.1f-1ubuntu2_amd64.deb;     elif [ "$(uname -m)" = "aarch64" ]; then         dpkg -i /deps/libssl1.1_1.1.1f-1ubuntu2_arm64.deb;     fi # buildkit
                        
# 2024-12-25 14:41:20  16.20MB 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c unzip -j /chromedriver-linux64.zip chromedriver-linux64/chromedriver &&     mv chromedriver /usr/local/bin/ &&     rm -f /usr/bin/google-chrome # buildkit
                        
# 2024-12-25 14:41:20  368.01MB 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c unzip /chrome-linux64.zip &&     mv chrome-linux64 /opt/chrome &&     ln -s /opt/chrome/chrome /usr/local/bin/ # buildkit
                        
# 2024-12-25 14:41:13  8.72MB 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add - &&     curl https://packages.microsoft.com/config/ubuntu/22.04/prod.list > /etc/apt/sources.list.d/mssql-release.list &&     apt update &&     if [ -n "$ARCH" ] && [ "$ARCH" = "arm64" ]; then         ACCEPT_EULA=Y apt install -y unixodbc-dev msodbcsql18;     else         ACCEPT_EULA=Y apt install -y unixodbc-dev msodbcsql17;     fi ||     { echo "Failed to install ODBC driver"; exit 1; } # buildkit
                        
# 2024-12-25 14:41:01  553.97MB 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c curl -fsSL https://deb.nodesource.com/setup_20.x | bash - &&     apt purge -y nodejs npm &&     apt autoremove &&     apt update &&     apt install -y nodejs cargo # buildkit
                        
# 2024-12-25 14:40:29  0.00B 设置环境变量 POETRY_REQUESTS_TIMEOUT
ENV POETRY_REQUESTS_TIMEOUT=15
                        
# 2024-12-25 14:40:29  0.00B 设置环境变量 POETRY_VIRTUALENVS_CREATE
ENV POETRY_VIRTUALENVS_CREATE=true
                        
# 2024-12-25 14:40:29  0.00B 设置环境变量 POETRY_VIRTUALENVS_IN_PROJECT
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
                        
# 2024-12-25 14:40:29  0.00B 设置环境变量 POETRY_NO_INTERACTION
ENV POETRY_NO_INTERACTION=1
                        
# 2024-12-25 14:40:29  0.00B 设置环境变量 PATH
ENV PATH=/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-12-25 14:40:29  0.00B 设置环境变量 PYTHONDONTWRITEBYTECODE DOTNET_SYSTEM_GLOBALIZATION_INVARIANT
ENV PYTHONDONTWRITEBYTECODE=1 DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=1
                        
# 2024-12-25 14:40:29  88.72MB 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c if [ "$NEED_MIRROR" == "1" ]; then         pip3 config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple &&         pip3 config set global.trusted-host pypi.tuna.tsinghua.edu.cn;     fi;     pipx install poetry;     if [ "$NEED_MIRROR" == "1" ]; then         pipx inject poetry poetry-plugin-pypi-mirror;     fi # buildkit
                        
# 2024-12-25 14:39:50  1.32GB 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c if [ "$NEED_MIRROR" == "1" ]; then         sed -i 's|http://archive.ubuntu.com|https://mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list;     fi;     rm -f /etc/apt/apt.conf.d/docker-clean &&     echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' > /etc/apt/apt.conf.d/keep-cache &&     chmod 1777 /tmp &&     apt update &&     apt --no-install-recommends install -y ca-certificates &&     apt update &&     apt install -y libglib2.0-0 libglx-mesa0 libgl1 &&     apt install -y pkg-config libicu-dev libgdiplus &&     apt install -y default-jdk &&     apt install -y libatk-bridge2.0-0 &&     apt install -y libpython3-dev libgtk-4-1 libnss3 xdg-utils libgbm-dev &&     apt install -y python3-pip pipx nginx unzip curl wget git vim less # buildkit
                        
# 2024-12-25 14:37:38  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2024-12-25 14:37:38  0.00B 设置环境变量 TIKA_SERVER_JAR
ENV TIKA_SERVER_JAR=file:///ragflow/tika-server-standard-3.0.0.jar
                        
# 2024-12-25 14:37:38  143.96MB 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c cp -r /deps/nltk_data /root/ &&     cp /deps/tika-server-standard-3.0.0.jar /deps/tika-server-standard-3.0.0.jar.md5 /ragflow/ &&     cp /deps/cl100k_base.tiktoken /ragflow/9b5ad71b2ce5302211f9c61530b329a4922fc6a4 # buildkit
                        
# 2024-12-25 14:37:36  0.00B 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c if [ "$LIGHTEN" != "1" ]; then         (tar -cf -             /huggingface.co/BAAI/bge-large-zh-v1.5             /huggingface.co/BAAI/bge-reranker-v2-m3             /huggingface.co/maidalun1020/bce-embedding-base_v1             /huggingface.co/maidalun1020/bce-reranker-base_v1             | tar -xf - --strip-components=2 -C /root/.ragflow)     fi # buildkit
                        
# 2024-12-25 14:37:35  407.99MB 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c cp /huggingface.co/InfiniFlow/huqie/huqie.txt.trie /ragflow/rag/res/ &&     tar --exclude='.*' -cf -         /huggingface.co/InfiniFlow/text_concat_xgb_v1.0         /huggingface.co/InfiniFlow/deepdoc         | tar -xf - --strip-components=3 -C /ragflow/rag/res/deepdoc # buildkit
                        
# 2024-12-25 14:37:26  0.00B 执行命令并创建新的镜像层
RUN |2 NEED_MIRROR=0 LIGHTEN=1 /bin/bash -c mkdir -p /ragflow/rag/res/deepdoc /root/.ragflow # buildkit
                        
# 2024-12-25 14:07:45  0.00B 设置工作目录为/ragflow
WORKDIR /ragflow
                        
# 2024-12-25 14:07:45  0.00B 设置环境变量 LIGHTEN
ENV LIGHTEN=1
                        
# 2024-12-25 14:07:45  0.00B 定义构建参数
ARG LIGHTEN=1
                        
# 2024-12-25 14:07:45  0.00B 定义构建参数
ARG NEED_MIRROR=0
                        
# 2024-12-25 14:07:45  0.00B 
SHELL [/bin/bash -c]
                        
# 2024-12-25 14:07:45  0.00B 指定运行容器时使用的用户
USER root
                        
# 2024-09-12 00:25:18  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-09-12 00:25:17  77.86MB 
/bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in / 
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:3b681fbc7778698b4306faac426d58c76021b6b52fa7f94590375516c18b1151",
    "RepoTags": [
        "infiniflow/ragflow:v0.15.1-slim",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.15.1-slim"
    ],
    "RepoDigests": [
        "infiniflow/ragflow@sha256:457f7a22794b401eca5c3c7061e97d3632e360b6f4b2c7537c31d3bc92ad6bc1",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow@sha256:53ce8f33954a0e63f842884a9417e12e660589ebf0f021fc68555c187cc01626"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-12-25T06:50:42.852078216Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "root",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/ragflow/.venv/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LIGHTEN=1",
            "TIKA_SERVER_JAR=file:///ragflow/tika-server-standard-3.0.0.jar",
            "DEBIAN_FRONTEND=noninteractive",
            "PYTHONDONTWRITEBYTECODE=1",
            "DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=1",
            "POETRY_NO_INTERACTION=1",
            "POETRY_VIRTUALENVS_IN_PROJECT=true",
            "POETRY_VIRTUALENVS_CREATE=true",
            "POETRY_REQUESTS_TIMEOUT=15",
            "VIRTUAL_ENV=/ragflow/.venv",
            "PYTHONPATH=/ragflow/"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/ragflow",
        "Entrypoint": [
            "./entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        },
        "Shell": [
            "/bin/bash",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 6149380899,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/d71f6013f59ee17f81b0b910518528a4448d49140c9b279b6b98c8a4a51f7f70/diff:/var/lib/docker/overlay2/ae8cfbebeb74d25f141d223c14f1da151798d7df28a621122f4f09869801c9de/diff:/var/lib/docker/overlay2/a3d6f87303af6ba63bebe70726ebedf16e8eeeb450b679e93df00f3021de1c4f/diff:/var/lib/docker/overlay2/d7bc2b3df559a98fac82a3c841d9443a468a2500e257a55da4f7d864ae49f0e1/diff:/var/lib/docker/overlay2/4f44c5a13ad7d123d7b9171a5c3f4d8050acac6d00ec53fce5e7fe165c9f4ec1/diff:/var/lib/docker/overlay2/7d884d75e7ca96168f66cf98419e7a9f0e8f504b1a687ed72e6f7c42828310a9/diff:/var/lib/docker/overlay2/a180de71664adc6267e3137b8e3ab5cb1d6297d302079db706fd8b34b29bd044/diff:/var/lib/docker/overlay2/33cefe87e88a61312929a37391ff9dd766998cffca1826145e07a7f6c1dd0777/diff:/var/lib/docker/overlay2/a481e72e0a44c027843da5bdc5407638df25864ef009e97468527f80689d743f/diff:/var/lib/docker/overlay2/c694027007a5108e1d47dbe94399c794896f4fa21f45c335dc789a548def5d3c/diff:/var/lib/docker/overlay2/1f6b58a5dd8dc4e54db3ebf506ad72a26a92312f792887ce5f2d2c62745a2a9a/diff:/var/lib/docker/overlay2/ef3793515875337e5b4237a37f8ac20101d6d49271128cce741d9883ef6fb763/diff:/var/lib/docker/overlay2/76d32540d08d299cb5e74c9a5007b42d12509a5bd8b9056cb71e1e53febf0445/diff:/var/lib/docker/overlay2/7a6ecba26f0cfaeef1109fc0c9b038978fe3caa9046dc2517200aaf62a37b8ce/diff:/var/lib/docker/overlay2/b6186967073bea234d20381f89c2e86bc1ddf13aa2ff3a9821b54dd5a03d5354/diff:/var/lib/docker/overlay2/e13a7a10aed136004cc314c85dc63eb83fe063e6d6568b860af2bbe5ab3e9031/diff:/var/lib/docker/overlay2/00e9c10f2349305d5f6c22f7021262e3a1b8d08241d949364a86ce8a1566e09a/diff:/var/lib/docker/overlay2/7b0b0ac2c23e021713f868a4c00483dc315839173bd2806cea845e4cbe54b0a1/diff:/var/lib/docker/overlay2/de31a851ee7cf0ec02c1342cc37832b2bacac7df94aaf5bd3a4aaa4286158ba8/diff:/var/lib/docker/overlay2/f8bc1c9aeb96c8adc0ee8248b077cb97998d631e131a70ad818702cc4f38e61e/diff:/var/lib/docker/overlay2/87c1dcdcf5e5d75668e8494aec53a6100810cf695568ce8742d5c3baacca7358/diff:/var/lib/docker/overlay2/a69d6c4556a39d4cc65804cc08aba680ebb17ed3f2d9ffb6cccbd5a2cc9066a4/diff:/var/lib/docker/overlay2/0b98df6d4b421bf7d566afede67da0b09c311e8c48ebd366266f25d182e5018e/diff:/var/lib/docker/overlay2/93a0979b785c6a03797215c051b97978dd4c5c043eca1d426a1dd63f08d0ebbc/diff:/var/lib/docker/overlay2/9a3cbcb87e936fecc1efbcc72d7a13c98781d448d19a7cecc3b4d29bf65fe64c/diff:/var/lib/docker/overlay2/14cee8b0022383a4eea237b7c1ae0a1d5d68019a2e9070e5978b9ce4692e40f7/diff:/var/lib/docker/overlay2/4cfb2ff6eb670d08d805fcc326973c76acabc424b2f6ce5f1903149f34750452/diff",
            "MergedDir": "/var/lib/docker/overlay2/8e7ade410a892f45c372556fe1b4da81900c07c80a7cdf10e1bb74e53160244c/merged",
            "UpperDir": "/var/lib/docker/overlay2/8e7ade410a892f45c372556fe1b4da81900c07c80a7cdf10e1bb74e53160244c/diff",
            "WorkDir": "/var/lib/docker/overlay2/8e7ade410a892f45c372556fe1b4da81900c07c80a7cdf10e1bb74e53160244c/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:2573e0d8158209ed54ab25c87bcdcb00bd3d2539246960a3d592a1c599d70465",
            "sha256:90113e5be9be57b6a64c0ec344da2484d1ddf6a5e43dbce75ef1494a123ec13f",
            "sha256:0ce7ebc29109951f49070e7a16e258f60e6517619cfd384e6425151b646691ce",
            "sha256:e6ba7007fa316c56d54c679cfcbd259de1168789c07ba95cd760e33ef424aa77",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:aa561b61ad910874f56cf7e85a9ff8843872966925ea2781cf6229443bdb65d4",
            "sha256:060f0fd784e2573c31c6e4369dae8e759a03251712d259a52e0076d9a61bd86f",
            "sha256:32e77f6bb71fde5c3c8b201df1311322ca1b68609939a0b154af8736496431e9",
            "sha256:64eaf1985d235ef6ae502c068cdd21103b431cd0cab1ce16cca32ddda8e03502",
            "sha256:d0a95158581a328d69eeef4a1abf8414f6e809b206835ff8b9205352e5c8090a",
            "sha256:193112aa9a86116076b8ed095034a330b74249d1c46cea963f3b9f7edd8ccba3",
            "sha256:d1ad7fddf515cca716f33ac81e4bc2d3c82b71b31250ffd5450c7d47e009083e",
            "sha256:57616a1c48befc4d6c82595576567b4955deb10ec3b57845e0d933c070cd82c8",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:a50f6b47559d6e929f5730b7bf2a240bcf209974d9380f75c32f021ef4040de0",
            "sha256:30748bcf97d0fab71aeee978cfc201ee9b9fcb0976933383a441d70ec634828f",
            "sha256:d4504e4b4b2d23acb824f1f27f90308ce9c9b8fc121e6a146c2f367f72edaead",
            "sha256:d2648872eaaafe358434fd17d6c6529a60dccf3accdc5c8749b8cd8f9f122cc1",
            "sha256:093c306996643e0390e7905dc6f831bb222848e374e61584d7fcf51e73d662e3",
            "sha256:d91b7954a9153a031c5c54331c6219f871bd16a1dc78c87a4a82fa194422ef09",
            "sha256:c45f84666ddd8ca218c35dea4957b108b6ba2cd0b59a619d9ebfab79d7af7ea1",
            "sha256:72dfdaebc03252d5762e850f071bf4687d2f0d26659769c8f540af682cd52a01",
            "sha256:19a3a0b3f7409624176b5346a890124971d5cc3771891803ca19781bcdd5bc94",
            "sha256:c7108e5b10e2c0b668054a45b7ca69d73d3e757f0368ad7a6f6a4485fad4ccbc",
            "sha256:f983a56bae3123f6b4224c4e2f0780d014670df5905c8ad76050c29641ddb598",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:1f50c4c349db77f531bd5478b3088dca574782e19654cec5002f9170abf39345",
            "sha256:8d27f36ac5ad00806bd211baa0d58d12fc9623cdbc6b724952e6fc023aefc225"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-12-27T15:31:29.334878832+08:00"
    }
}

更多版本

docker.io/infiniflow/ragflow:v0.9.0

linux/amd64 docker.io18.68GB2024-08-08 13:04
973

docker.io/infiniflow/ragflow:v0.10.0

linux/amd64 docker.io18.90GB2024-08-30 22:24
431

docker.io/infiniflow/ragflow:v0.8.0

linux/amd64 docker.io17.96GB2024-09-07 05:03
174

docker.io/infiniflow/ragflow:v0.11.0

linux/amd64 docker.io19.12GB2024-09-24 02:00
171

docker.io/infiniflow/ragflow-base:v2.0

linux/amd64 docker.io13.92GB2024-09-24 02:00
271

docker.io/infiniflow/ragflow:v0.12.0

linux/amd64 docker.io19.15GB2024-10-01 13:07
343

docker.io/infiniflow/ragflow:dev

linux/amd64 docker.io19.15GB2024-10-01 13:08
220

docker.io/infiniflow/ragflow:latest

linux/amd64 docker.io3.67GB2024-10-14 18:21
332

docker.io/infiniflow/ragflow:dev-slim

linux/amd64 docker.io3.66GB2024-10-17 16:52
218

docker.io/infiniflow/ragflow:v0.12.0-slim

linux/amd64 docker.io3.67GB2024-10-29 11:12
195

docker.io/infiniflow/ragflow:v0.13.0

linux/amd64 docker.io19.53GB2024-10-31 20:03
323

docker.io/infiniflow/ragflow:v0.13.0-slim

linux/amd64 docker.io3.81GB2024-11-01 09:32
251

docker.io/infiniflow/ragflow:v0.14.0

linux/amd64 docker.io16.91GB2024-11-27 00:34
107

docker.io/infiniflow/ragflow:v0.14.1

linux/amd64 docker.io16.91GB2024-11-29 05:07
101

docker.io/infiniflow/ragflow:v0.14.1-slim

linux/amd64 docker.io5.97GB2024-11-29 21:29
113

docker.io/infiniflow/ragflow:v0.15.0

linux/amd64 docker.io17.09GB2024-12-20 00:53
85

docker.io/infiniflow/ragflow:v0.15.1

linux/amd64 docker.io17.09GB2024-12-26 02:55
89

docker.io/infiniflow/ragflow:v0.15.1-slim

linux/amd64 docker.io6.15GB2024-12-27 15:36
63