ghcr.io/hkuds/lightrag:latest linux/amd64

ghcr.io/hkuds/lightrag:latest - 国内下载镜像源 浏览次数:56

温馨提示:此镜像为latest tag镜像,本站无法保证此版本为最新镜像

很抱歉,我无法直接访问外部资源,包括Docker Hub或GitHub Container Registry来获取镜像ghcr.io/hkuds/lightrag的描述信息。 我需要更多信息才能提供描述。

源镜像 ghcr.io/hkuds/lightrag:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest
镜像ID sha256:aee14be97f5695d4560b44b9f051a3dfc82c2896ed67e7c98fc5ea69da4ec717
镜像TAG latest
大小 1.04GB
镜像源 ghcr.io
CMD
启动入口 python -m lightrag.api.lightrag_server
工作目录 /app
OS/平台 linux/amd64
浏览量 56 次
贡献者
镜像创建 2025-06-05T09:46:25.766355076Z
同步时间 2025-06-09 21:46
更新时间 2025-06-29 20:10
开放端口
9621/tcp
环境变量
PATH=/root/.local/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D PYTHON_VERSION=3.11.13 PYTHON_SHA256=8fb5f9fbc7609fa822cb31549884575db7fd9657cbffb89510b5d7975963a83a WORKING_DIR=/app/data/rag_storage INPUT_DIR=/app/data/inputs
镜像标签
2025-06-05T09:44:31.263Z: org.opencontainers.image.created "LightRAG: Simple and Fast Retrieval-Augmented Generation": org.opencontainers.image.description MIT: org.opencontainers.image.licenses 3325f20507ac971569ea58d610cb7f17029e1fbb: org.opencontainers.image.revision https://github.com/HKUDS/LightRAG: org.opencontainers.image.source LightRAG: org.opencontainers.image.title https://github.com/HKUDS/LightRAG: org.opencontainers.image.url 1.3.8: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest  ghcr.io/hkuds/lightrag:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest  ghcr.io/hkuds/lightrag:latest

Shell快速替换命令

sed -i 's#ghcr.io/hkuds/lightrag:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest  ghcr.io/hkuds/lightrag:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest  ghcr.io/hkuds/lightrag:latest'

镜像构建历史


# 2025-06-05 17:46:25  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["python" "-m" "lightrag.api.lightrag_server"]
                        
# 2025-06-05 17:46:25  0.00B 声明容器运行时监听的端口
EXPOSE map[9621/tcp:{}]
                        
# 2025-06-05 17:46:25  0.00B 设置环境变量 INPUT_DIR
ENV INPUT_DIR=/app/data/inputs
                        
# 2025-06-05 17:46:25  0.00B 设置环境变量 WORKING_DIR
ENV WORKING_DIR=/app/data/rag_storage
                        
# 2025-06-05 17:46:25  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /app/data/rag_storage /app/data/inputs # buildkit
                        
# 2025-06-05 17:46:25  0.00B 设置环境变量 PATH
ENV PATH=/root/.local/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-06-05 17:46:25  17.88MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install ".[api]" # buildkit
                        
# 2025-06-05 17:46:21  3.67KB 复制新文件或目录到容器中
COPY setup.py . # buildkit
                        
# 2025-06-05 17:46:21  11.65MB 复制新文件或目录到容器中
COPY ./lightrag ./lightrag # buildkit
                        
# 2025-06-05 17:46:20  880.86MB 复制新文件或目录到容器中
COPY /root/.local /root/.local # buildkit
                        
# 2025-06-05 17:44:35  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-06-04 07:02:53  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-06-04 07:02:53  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2025-06-04 07:02:53  45.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		$(test "$gnuArch" != 'riscv64-linux-musl' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:--Wl},--strip-all"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -r dpkg-query --search 		| cut -d: -f1 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	rm -rf /var/lib/apt/lists/*; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 		pip3 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==65.5.1' 		'wheel<0.46' 	; 	pip3 --version # buildkit
                        
# 2025-06-04 07:02:53  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=8fb5f9fbc7609fa822cb31549884575db7fd9657cbffb89510b5d7975963a83a
                        
# 2025-06-04 07:02:53  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.13
                        
# 2025-06-04 07:02:53  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2025-06-04 07:02:53  9.24MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-06-04 07:02:53  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-06-04 07:02:53  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-05-20 08:00:00  74.81MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1747699200'
                        
                    

镜像信息

{
    "Id": "sha256:aee14be97f5695d4560b44b9f051a3dfc82c2896ed67e7c98fc5ea69da4ec717",
    "RepoTags": [
        "ghcr.io/hkuds/lightrag:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:latest"
    ],
    "RepoDigests": [
        "ghcr.io/hkuds/lightrag@sha256:f003d82ec115d39db9dced10157d024715c46522be68985845192eda8953e17c",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag@sha256:9f4a05e2fb92a7db12cf61a85b7cc10c641aea4cc4a470b205e89805874b876a"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-06-05T09:46:25.766355076Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "9621/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/root/.local/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D",
            "PYTHON_VERSION=3.11.13",
            "PYTHON_SHA256=8fb5f9fbc7609fa822cb31549884575db7fd9657cbffb89510b5d7975963a83a",
            "WORKING_DIR=/app/data/rag_storage",
            "INPUT_DIR=/app/data/inputs"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": [
            "python",
            "-m",
            "lightrag.api.lightrag_server"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-06-05T09:44:31.263Z",
            "org.opencontainers.image.description": "\"LightRAG: Simple and Fast Retrieval-Augmented Generation\"",
            "org.opencontainers.image.licenses": "MIT",
            "org.opencontainers.image.revision": "3325f20507ac971569ea58d610cb7f17029e1fbb",
            "org.opencontainers.image.source": "https://github.com/HKUDS/LightRAG",
            "org.opencontainers.image.title": "LightRAG",
            "org.opencontainers.image.url": "https://github.com/HKUDS/LightRAG",
            "org.opencontainers.image.version": "1.3.8"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 1040252517,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/85bd25f0e052f56d17c5ef44b07863c0fe1503bd0ef82983ebbc7982a5c141f3/diff:/var/lib/docker/overlay2/492a4af1cb68437c52fff384af8214c92244fa16ee69252771f202a51e8b0769/diff:/var/lib/docker/overlay2/a2d262e2140fe16d420fe410e9d4a2f7c679c4d90addf7b1cca21cc76cb29ea6/diff:/var/lib/docker/overlay2/0cf19b41e4a746a4bdb805ac1240b10784a9df2ec11471330be3f75ec32e52ec/diff:/var/lib/docker/overlay2/95ba355bcd82c99edeecc7e0550d15ead6d5d4a10c5da4c8451580194a4260ed/diff:/var/lib/docker/overlay2/2e10f7bd42bfb83dd919dc6c17fa92284fb6964ad12a9470c8ab0c46d19272f3/diff:/var/lib/docker/overlay2/80d4ed01296ce1b0e9151bc1e0e426e30b7e779c50ba8eaa0ad3a1413a07bf22/diff:/var/lib/docker/overlay2/054d8cdca0e7f59fcf76530d4b4ae966c5891d3130c6ced54f08e18bed7a5946/diff:/var/lib/docker/overlay2/8c3c6d49a286695292ca02f68a749f8d298963491e7b19bc618e55f67bd4bdd3/diff",
            "MergedDir": "/var/lib/docker/overlay2/95967157820b7fd1f37545440563054eab4b398739cd933c7eef25c2bce0285c/merged",
            "UpperDir": "/var/lib/docker/overlay2/95967157820b7fd1f37545440563054eab4b398739cd933c7eef25c2bce0285c/diff",
            "WorkDir": "/var/lib/docker/overlay2/95967157820b7fd1f37545440563054eab4b398739cd933c7eef25c2bce0285c/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:ace34d1d784c01e3f9d156687089e8f58f786e23ccd097bdbbf337d6d28b3783",
            "sha256:5e6605a14cb201f9c95bcce3162c019937bd264c07fa1d9387489f52fb3853ed",
            "sha256:dd8620dce35ec1fd18fe07d0d19ddb808cad8cbf65bb72a8706e4df3fdb224c6",
            "sha256:358eedbb897f14e26abf8d58fcd32438f9e9d3d37b2fbf9f693cfb9fbb60f8db",
            "sha256:5498482907be1b4865ace3d4433886741b6f39ab59ca6434842be996e8b3d133",
            "sha256:d3709b2e3a81bd89854be4d4acdee11d537045c4cab05217201058a28396c939",
            "sha256:8df2e4253e643279c9ad88b8f8bc2d8a500a70e388471ae1305ba30a9d2995e5",
            "sha256:aedd34476cc21fb52de0f81299ebc2f5b1ae88fb05af7bfccaea40568e929c98",
            "sha256:7d1e7328301ba72537bcbc81968b0ef10d0d6b4965f44d5b4710e11944160b94",
            "sha256:4f675257d21fe864256db05892b8843c04e3269dca226d5ceb9a1253245e0128"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-06-09T21:45:45.293736577+08:00"
    }
}

更多版本

ghcr.io/hkuds/lightrag:latest

linux/amd64 ghcr.io1.04GB2025-06-09 21:46
55