docker.io/infiniflow/ragflow:v0.22.1 linux/amd64

docker.io/infiniflow/ragflow:v0.22.1 - 国内下载镜像源 浏览次数:8
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:v0.22.1
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.22.1
镜像ID sha256:e49aaf3f10bc27af5111346091245c33ac3455479af2f3313bac4a56c83e9ab0
镜像TAG v0.22.1
大小 7.50GB
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 8 次
贡献者
镜像创建 2025-11-19T20:14:23.386916295+08:00
同步时间 2026-05-28 01:04
环境变量
PATH=/ragflow/.venv/bin:/root/.cargo/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin TIKA_SERVER_JAR=file:///ragflow/tika-server-standard-3.0.0.jar DEBIAN_FRONTEND=noninteractive PYTHONDONTWRITEBYTECODE=1 DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=1 VIRTUAL_ENV=/ragflow/.venv PYTHONPATH=/ragflow/
镜像标签
ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.22.1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.22.1  docker.io/infiniflow/ragflow:v0.22.1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.22.1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.22.1  docker.io/infiniflow/ragflow:v0.22.1

Shell快速替换命令

sed -i 's#infiniflow/ragflow:v0.22.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.22.1#' 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:v0.22.1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.22.1  docker.io/infiniflow/ragflow:v0.22.1'

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:v0.22.1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.22.1  docker.io/infiniflow/ragflow:v0.22.1'

镜像构建历史


# 2025-11-19 20:14:23  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["./entrypoint.sh"]
                        
# 2025-11-19 20:14:23  8.00B 复制新文件或目录到容器中
COPY /ragflow/VERSION /ragflow/VERSION # buildkit
                        
# 2025-11-19 20:14:23  145.86MB 复制新文件或目录到容器中
COPY /ragflow/web/dist /ragflow/web/dist # buildkit
                        
# 2025-11-19 20:14:23  8.82KB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=1 /bin/bash -c chmod +x ./entrypoint*.sh # buildkit
                        
# 2025-11-19 20:14:22  8.82KB 复制新文件或目录到容器中
COPY docker/entrypoint.sh ./ # buildkit
                        
# 2025-11-19 20:14:22  4.33KB 复制新文件或目录到容器中
COPY docker/service_conf.yaml.template ./conf/service_conf.yaml.template # buildkit
                        
# 2025-11-19 20:14:22  496.95KB 复制新文件或目录到容器中
COPY common common # buildkit
                        
# 2025-11-19 20:14:22  12.16KB 复制新文件或目录到容器中
COPY plugin plugin # buildkit
                        
# 2025-11-19 20:14:22  33.59KB 复制新文件或目录到容器中
COPY mcp mcp # buildkit
                        
# 2025-11-19 20:14:22  869.21KB 复制新文件或目录到容器中
COPY pyproject.toml uv.lock ./ # buildkit
                        
# 2025-11-19 20:14:22  17.52KB 复制新文件或目录到容器中
COPY agentic_reasoning agentic_reasoning # buildkit
                        
# 2025-11-19 20:14:22  183.69KB 复制新文件或目录到容器中
COPY graphrag graphrag # buildkit
                        
# 2025-11-19 20:14:22  1.45MB 复制新文件或目录到容器中
COPY agent agent # buildkit
                        
# 2025-11-19 20:14:22  9.66MB 复制新文件或目录到容器中
COPY rag rag # buildkit
                        
# 2025-11-19 20:14:22  1.71MB 复制新文件或目录到容器中
COPY deepdoc deepdoc # buildkit
                        
# 2025-11-19 20:14:22  217.79KB 复制新文件或目录到容器中
COPY conf conf # buildkit
                        
# 2025-11-19 20:14:22  906.14KB 复制新文件或目录到容器中
COPY api api # buildkit
                        
# 2025-11-19 20:14:22  121.21KB 复制新文件或目录到容器中
COPY admin admin # buildkit
                        
# 2025-11-19 20:10:17  60.60MB 复制新文件或目录到容器中
COPY web web # buildkit
                        
# 2025-11-19 20:10:17  0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=/ragflow/
                        
# 2025-11-19 20:10:17  0.00B 设置环境变量 PATH
ENV PATH=/ragflow/.venv/bin:/root/.cargo/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-11-19 20:10:17  3.46GB 复制新文件或目录到容器中
COPY /ragflow/.venv /ragflow/.venv # buildkit
                        
# 2025-11-14 09:43:38  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/ragflow/.venv
                        
# 2025-11-14 09:43:38  0.00B 设置工作目录为/ragflow
WORKDIR /ragflow
                        
# 2025-11-14 09:43:38  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-11-14 09:43:38  7.38MB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=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
                        
# 2025-11-14 09:43:38  16.20MB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=1 /bin/bash -c unzip -j /chromedriver-linux64.zip chromedriver-linux64/chromedriver &&     mv chromedriver /usr/local/bin/ &&     rm -f /usr/bin/google-chrome # buildkit
                        
# 2025-11-14 09:43:37  368.01MB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=1 /bin/bash -c unzip /chrome-linux64.zip &&     mv chrome-linux64 /opt/chrome &&     ln -s /opt/chrome/chrome /usr/local/bin/ # buildkit
                        
# 2025-11-14 09:43:35  9.82MB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=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 &&     arch="$(uname -m)";     if [ "$arch" = "arm64" ] || [ "$arch" = "aarch64" ]; 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
                        
# 2025-11-14 09:43:30  0.00B 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=1 /bin/bash -c cargo --version && rustc --version # buildkit
                        
# 2025-11-14 09:43:30  0.00B 设置环境变量 PATH
ENV PATH=/root/.cargo/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-11-14 09:43:30  736.17MB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=1 /bin/bash -c apt update && apt install -y curl build-essential     && if [ "$NEED_MIRROR" == "1" ]; then          export RUSTUP_DIST_SERVER="https://mirrors.tuna.tsinghua.edu.cn/rustup";          export RUSTUP_UPDATE_ROOT="https://mirrors.tuna.tsinghua.edu.cn/rustup/rustup";          echo "Using TUNA mirrors for Rustup.";        fi;     curl --proto '=https' --tlsv1.2 --http1.1 -sSf https://sh.rustup.rs | bash -s -- -y --profile minimal     && echo 'export PATH="/root/.cargo/bin:${PATH}"' >> /root/.bashrc # buildkit
                        
# 2025-11-14 09:43:17  162.73MB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=1 /bin/bash -c curl -fsSL https://deb.nodesource.com/setup_20.x | bash - &&     apt purge -y nodejs npm cargo &&     apt autoremove -y &&     apt update &&     apt install -y nodejs # buildkit
                        
# 2025-11-14 09:43:05  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
                        
# 2025-11-14 09:43:05  0.00B 设置环境变量 PYTHONDONTWRITEBYTECODE DOTNET_SYSTEM_GLOBALIZATION_INVARIANT
ENV PYTHONDONTWRITEBYTECODE=1 DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=1
                        
# 2025-11-14 09:43:05  96.16MB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=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;         mkdir -p /etc/uv &&         echo "[[index]]" > /etc/uv/uv.toml &&         echo 'url = "https://pypi.tuna.tsinghua.edu.cn/simple"' >> /etc/uv/uv.toml &&         echo "default = true" >> /etc/uv/uv.toml;     fi;     pipx install uv # buildkit
                        
# 2025-11-14 09:42:59  1.79GB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=1 /bin/bash -c if [ "$NEED_MIRROR" == "1" ]; then         sed -i 's|http://ports.ubuntu.com|http://mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list;         sed -i 's|http://archive.ubuntu.com|http://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 libjemalloc-dev &&     apt install -y python3-pip pipx nginx unzip curl wget git vim less &&     apt install -y ghostscript &&     apt install -y pandoc &&     apt install -y texlive # buildkit
                        
# 2025-11-14 09:35:38  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-11-14 09:35:38  0.00B 设置环境变量 TIKA_SERVER_JAR
ENV TIKA_SERVER_JAR=file:///ragflow/tika-server-standard-3.0.0.jar
                        
# 2025-11-14 09:35:38  143.96MB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=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
                        
# 2025-11-14 09:35:38  407.99MB 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=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
                        
# 2025-11-14 09:35:37  0.00B 执行命令并创建新的镜像层
RUN |1 NEED_MIRROR=1 /bin/bash -c mkdir -p /ragflow/rag/res/deepdoc /root/.ragflow # buildkit
                        
# 2025-11-14 09:35:37  0.00B 设置工作目录为/ragflow
WORKDIR /ragflow
                        
# 2025-11-14 09:35:37  0.00B 定义构建参数
ARG NEED_MIRROR=1
                        
# 2025-11-14 09:35:37  0.00B 
SHELL [/bin/bash -c]
                        
# 2025-11-14 09:35:37  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-10-14 01:23:20  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-10-14 01:23:20  77.87MB 
/bin/sh -c #(nop) ADD file:d025507456f1d7d19195885b1c02a346454d60c9348cbd3be92431f2d7e2666e in / 
                        
# 2025-10-14 01:23:18  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-10-14 01:23:18  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-10-14 01:23:18  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-10-14 01:23:18  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:e49aaf3f10bc27af5111346091245c33ac3455479af2f3313bac4a56c83e9ab0",
    "RepoTags": [
        "infiniflow/ragflow:v0.22.1",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow:v0.22.1"
    ],
    "RepoDigests": [
        "infiniflow/ragflow@sha256:30dc56a42369950fc8dd6addfbc533c1d13911862652c8d2dacdafd0656dfe75",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/infiniflow/ragflow@sha256:dfc9f165ae96e2cbab46ea7aa4dc1ab25fea1be9986803cc4c6751927c97d144"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-11-19T20:14:23.386916295+08:00",
    "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/.cargo/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "TIKA_SERVER_JAR=file:///ragflow/tika-server-standard-3.0.0.jar",
            "DEBIAN_FRONTEND=noninteractive",
            "PYTHONDONTWRITEBYTECODE=1",
            "DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=1",
            "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": 7496307308,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/19bb09f2cf1e3009c4821b6875151b0a69245c811344bdb710dc458c0679a825/diff:/var/lib/docker/overlay2/19da0f0214b5e12fc88ea06b64c0c169c0d1984442ad7f57d31547b58c4f1850/diff:/var/lib/docker/overlay2/1eb6d10d83672f946f011b96200c161e62a651cbbef0763e1c3f2331c2d7a6fa/diff:/var/lib/docker/overlay2/31fe10d382a8bacdb0a0130a3c4b389882892dd57b687e461edcbda57b6195ce/diff:/var/lib/docker/overlay2/7b53f418ff9593d97e097f1f1e67c5e5f02bc3d0d67d22a86c0f27a48f5fa920/diff:/var/lib/docker/overlay2/4c4c9462555ff30c78fb6b5440a96c2e1b9064afc4064cbb9bb907501cd27c44/diff:/var/lib/docker/overlay2/6be762eaddd6981daca8da57a66e0bd2a6101f39a7a04b7ba3f89d1a667962ba/diff:/var/lib/docker/overlay2/74e01448b5e7ef3c63fa805337276b3f351611a64c0a5ea84df0139b453876bc/diff:/var/lib/docker/overlay2/98c9c49e0ac4e1a0b438fcaa4c02029b298b09e9575779439e30287a82e0bd9a/diff:/var/lib/docker/overlay2/da14747182a56275f2c3f8e5d2ba895ad2b059189d8cf3b2c5855aad191c50f4/diff:/var/lib/docker/overlay2/c02bc777dcc030dd5c869081ee9461d2fbdf1685f5de753abd4d72c70933a432/diff:/var/lib/docker/overlay2/c5826725d6734fddf2eb95fb8975dd911da1522476977af4fd594134f8cba04d/diff:/var/lib/docker/overlay2/6202f7b45b75b1cacba282f0b70387d14da3247ba9a11523a2cb65309d0863b3/diff:/var/lib/docker/overlay2/fdad2ba5c429cc0ff3043287d813b927b0ec9975a5cf6b7d27a90458f886b7a0/diff:/var/lib/docker/overlay2/b9708ea8f957234ed8565e6dd44d722c38582298a7244af3f7e2646e5c4fbe4d/diff:/var/lib/docker/overlay2/e94ff03f387a0c9b5d92ed6c322f82302d72a04c76e22377c2806603beeb35e4/diff:/var/lib/docker/overlay2/70f174afb2d9a09d0c0a1082d4522b59f5c6e0691c5f71f1707c85f4ae3d67e1/diff:/var/lib/docker/overlay2/47d276c503b9c5ac2eafe4b489a196d83d6d4aecaba08e56aadee53d37d5d27b/diff:/var/lib/docker/overlay2/61d8d406cda02fb73c23b6ccb5f2655c3ddb100bea56a21f58c561b8140c392c/diff:/var/lib/docker/overlay2/849fd3086a47e25419e3be3a5a1050f8f7781dbeb3d796a92d56937df4407d00/diff:/var/lib/docker/overlay2/e1143118e1f741343bda3b5addc2ef5381ddd325777a0b1c5f54b882d3f3ffd0/diff:/var/lib/docker/overlay2/a842c48aee2383b21bf758bcf8885a96d00f1fd9ed0341ddf83c2bd2b7684c46/diff:/var/lib/docker/overlay2/ad2a250b5ba9016defb7f4ba9a43363f6cd6be447617f8745164b6dd7b4bcf2f/diff:/var/lib/docker/overlay2/c6842ba195a77b2934fcee4e0d388f0e844076914ad9d01fcab7c5d7142d4635/diff:/var/lib/docker/overlay2/9612bc14d33fd2ee880d5123a8826846de7cec0fde9f14f5c1771a3c20c8faec/diff:/var/lib/docker/overlay2/572363ddfa2305920d54301767d10c3d082fea65debe3e6081afa2db5f3edea4/diff:/var/lib/docker/overlay2/0e8597cd16f71db0595595854725665bc62fe61f59e5a2046389d4f36cc5adab/diff:/var/lib/docker/overlay2/ee3b4eb8945f52fdd4fd8105f35db01bedbc1b8880d4924f215914569ad45722/diff:/var/lib/docker/overlay2/1f45113cb457f59015ea511af2c1771198eba15a48b7df4c43461d4c134e949c/diff:/var/lib/docker/overlay2/7ddc7fcd77a53d70b4118ad411396674970fcbaa05a328aa7d8afd1c27702ac2/diff:/var/lib/docker/overlay2/1e1f77358be2f2408b843c187c0c175b1c96d03a40cd393a027ec49e5cf49f85/diff:/var/lib/docker/overlay2/94bb52a3dbc9b3476df1f9cfea7e8a0034030228a33f211d47a5109aa20636a9/diff:/var/lib/docker/overlay2/f2228895d4af6e55754cd4d1b5309b457f8d5bf89c0bcfefcfd81efbffc23954/diff",
            "MergedDir": "/var/lib/docker/overlay2/de685afe766d437685804cf5e0a351d94fd1b51980c679c26c4dcff5e1e1e646/merged",
            "UpperDir": "/var/lib/docker/overlay2/de685afe766d437685804cf5e0a351d94fd1b51980c679c26c4dcff5e1e1e646/diff",
            "WorkDir": "/var/lib/docker/overlay2/de685afe766d437685804cf5e0a351d94fd1b51980c679c26c4dcff5e1e1e646/work"
        },
        "Name": "overlay2"
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    }
}

更多版本

docker.io/infiniflow/ragflow:v0.9.0

linux/amd64 docker.io18.68GB2024-08-08 13:04
5217

docker.io/infiniflow/ragflow:v0.10.0

linux/amd64 docker.io18.90GB2024-08-30 22:24
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docker.io/infiniflow/ragflow:v0.8.0

linux/amd64 docker.io17.96GB2024-09-07 05:03
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docker.io/infiniflow/ragflow:v0.11.0

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

linux/amd64 docker.io13.92GB2024-09-24 02:00
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docker.io/infiniflow/ragflow:v0.12.0

linux/amd64 docker.io19.15GB2024-10-01 13:07
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docker.io/infiniflow/ragflow:dev

linux/amd64 docker.io19.15GB2024-10-01 13:08
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docker.io/infiniflow/ragflow:latest

linux/amd64 docker.io3.67GB2024-10-14 18:21
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docker.io/infiniflow/ragflow:dev-slim

linux/amd64 docker.io3.66GB2024-10-17 16:52
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docker.io/infiniflow/ragflow:v0.12.0-slim

linux/amd64 docker.io3.67GB2024-10-29 11:12
814

docker.io/infiniflow/ragflow:v0.13.0

linux/amd64 docker.io19.53GB2024-10-31 20:03
998

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

linux/amd64 docker.io3.81GB2024-11-01 09:32
812

docker.io/infiniflow/ragflow:v0.14.0

linux/amd64 docker.io16.91GB2024-11-27 00:34
628

docker.io/infiniflow/ragflow:v0.14.1

linux/amd64 docker.io16.91GB2024-11-29 05:07
892

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

linux/amd64 docker.io5.97GB2024-11-29 21:29
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docker.io/infiniflow/ragflow:v0.15.0

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824

docker.io/infiniflow/ragflow:v0.15.1

linux/amd64 docker.io17.09GB2024-12-26 02:55
1462

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

linux/amd64 docker.io6.15GB2024-12-27 15:36
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docker.io/infiniflow/ragflow_deps:latest

linux/amd64 docker.io6.59GB2025-02-07 00:47
1542

docker.io/infiniflow/ragflow:v0.16.0-slim

linux/amd64 docker.io7.03GB2025-02-07 18:20
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docker.io/infiniflow/ragflow:nightly

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docker.io/infiniflow/ragflow:v0.17.0-slim

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docker.io/infiniflow/ragflow:v0.17.0

linux/amd64 docker.io18.31GB2025-03-04 01:49
3495

docker.io/infiniflow/ragflow:v0.17.1

linux/amd64 docker.io18.32GB2025-03-13 00:37
713

docker.io/infiniflow/ragflow:v0.17.2

linux/amd64 docker.io18.32GB2025-03-14 03:04
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docker.io/infiniflow/ragflow:v0.17.2-slim

linux/amd64 docker.io7.04GB2025-03-14 11:21
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docker.io/infiniflow/ragflow:v0.18.0

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docker.io/infiniflow/ragflow:v0.19.0-slim

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docker.io/infiniflow/ragflow:v0.19.0

linux/amd64 docker.io15.06GB2025-05-27 00:54
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docker.io/infiniflow/ragflow:v0.19.x

linux/amd64 docker.io15.06GB2025-05-31 01:21
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docker.io/infiniflow/ragflow:v0.19.1-slim

linux/amd64 docker.io6.96GB2025-06-22 21:49
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docker.io/infiniflow/ragflow:v0.23.1

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docker.io/infiniflow/ragflow:v0.24.0

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docker.io/infiniflow/ragflow:v0.25.0

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docker.io/infiniflow/ragflow:latest-slim

linux/amd64 docker.io7.08GB2026-04-24 00:16
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docker.io/infiniflow/ragflow:v0.25.1

linux/amd64 docker.io8.28GB2026-04-30 18:46
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docker.io/infiniflow/ragflow:v0.25.2

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docker.io/infiniflow/ragflow:v0.25.4

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docker.io/infiniflow/ragflow:v0.25.6

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docker.io/infiniflow/ragflow:v0.22.1

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