ghcr.io/hkuds/lightrag:v1.4.9.8-lite linux/amd64

ghcr.io/hkuds/lightrag:v1.4.9.8-lite - 国内下载镜像源 浏览次数:10

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:v1.4.9.8-lite
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:v1.4.9.8-lite
镜像ID sha256:76780aaa0d7d21efe3f510874ff1af05d1860bbdb64ce534931e33cd2999efcd
镜像TAG v1.4.9.8-lite
大小 517.39MB
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 10 次
贡献者
镜像创建 2025-11-06T14:15:22.451300464Z
同步时间 2025-12-19 09:22
更新时间 2025-12-19 17:36
开放端口
9621/tcp
环境变量
PATH=/app/.venv/bin:/root/.local/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305 PYTHON_VERSION=3.12.12 PYTHON_SHA256=fb85a13414b028c49ba18bbd523c2d055a30b56b18b92ce454ea2c51edc656c4 UV_SYSTEM_PYTHON=1 TIKTOKEN_CACHE_DIR=/app/data/tiktoken WORKING_DIR=/app/data/rag_storage INPUT_DIR=/app/data/inputs
镜像标签
2025-11-06T14:13:42.735Z: org.opencontainers.image.created [EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation": org.opencontainers.image.description MIT: org.opencontainers.image.licenses 5bcd2926caf0a31dc52572108263a840b8d65aa3: 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 v1.4.9.8-lite: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:v1.4.9.8-lite
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:v1.4.9.8-lite  ghcr.io/hkuds/lightrag:v1.4.9.8-lite

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:v1.4.9.8-lite
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:v1.4.9.8-lite  ghcr.io/hkuds/lightrag:v1.4.9.8-lite

Shell快速替换命令

sed -i 's#ghcr.io/hkuds/lightrag:v1.4.9.8-lite#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:v1.4.9.8-lite#' 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:v1.4.9.8-lite && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:v1.4.9.8-lite  ghcr.io/hkuds/lightrag:v1.4.9.8-lite'

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:v1.4.9.8-lite && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:v1.4.9.8-lite  ghcr.io/hkuds/lightrag:v1.4.9.8-lite'

镜像构建历史


# 2025-11-06 22:15:22  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["python" "-m" "lightrag.api.lightrag_server"]
                        
# 2025-11-06 22:15:22  0.00B 声明容器运行时监听的端口
EXPOSE [9621/tcp]
                        
# 2025-11-06 22:15:22  0.00B 设置环境变量 INPUT_DIR
ENV INPUT_DIR=/app/data/inputs
                        
# 2025-11-06 22:15:22  0.00B 设置环境变量 WORKING_DIR
ENV WORKING_DIR=/app/data/rag_storage
                        
# 2025-11-06 22:15:22  0.00B 设置环境变量 TIKTOKEN_CACHE_DIR
ENV TIKTOKEN_CACHE_DIR=/app/data/tiktoken
                        
# 2025-11-06 22:15:22  5.30MB 复制新文件或目录到容器中
COPY /app/data/tiktoken /app/data/tiktoken # buildkit
                        
# 2025-11-06 22:15:22  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 /app/data/tiktoken # buildkit
                        
# 2025-11-06 22:15:22  45.15MB 执行命令并创建新的镜像层
RUN /bin/sh -c uv sync --frozen --no-dev --extra api --no-editable     && /app/.venv/bin/python -m ensurepip --upgrade # buildkit
                        
# 2025-11-06 22:15:15  0.00B 设置环境变量 PATH
ENV PATH=/app/.venv/bin:/root/.local/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-11-06 22:15:15  859.77KB 复制新文件或目录到容器中
COPY uv.lock . # buildkit
                        
# 2025-11-06 22:15:15  134.00B 复制新文件或目录到容器中
COPY setup.py . # buildkit
                        
# 2025-11-06 22:15:15  3.76KB 复制新文件或目录到容器中
COPY pyproject.toml . # buildkit
                        
# 2025-11-06 22:15:15  15.56MB 复制新文件或目录到容器中
COPY /app/lightrag ./lightrag # buildkit
                        
# 2025-11-06 22:15:15  281.14MB 复制新文件或目录到容器中
COPY /app/.venv /app/.venv # buildkit
                        
# 2025-11-06 22:15:11  0.00B 复制新文件或目录到容器中
COPY /root/.local /root/.local # buildkit
                        
# 2025-11-06 22:15:11  0.00B 设置环境变量 UV_SYSTEM_PYTHON
ENV UV_SYSTEM_PYTHON=1
                        
# 2025-11-06 22:13:53  50.18MB 复制新文件或目录到容器中
COPY /uv /usr/local/bin/uv # buildkit
                        
# 2025-11-06 22:13:52  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-11-04 12:32:14  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-11-04 12:32:14  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
                        
# 2025-11-04 12:32:13  36.76MB 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' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:--Wl},--strip-all"; 		arch="$(dpkg --print-architecture)"; arch="${arch##*-}"; 		case "$arch" in 			amd64|arm64) 				EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer"; 				;; 			i386) 				;; 			*) 				EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer"; 				;; 		esac; 	make -j "$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 = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -rt dpkg-query --search 		| awk 'sub(":$", "", $1) { print $1 }' 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	apt-get dist-clean; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 	pip3 --version # buildkit
                        
# 2025-11-04 12:23:01  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=fb85a13414b028c49ba18bbd523c2d055a30b56b18b92ce454ea2c51edc656c4
                        
# 2025-11-04 12:23:01  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.12.12
                        
# 2025-11-04 12:23:01  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305
                        
# 2025-11-04 12:23:01  3.81MB 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 	; 	apt-get dist-clean # buildkit
                        
# 2025-11-04 12:23:01  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-11-04 12:23:01  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
                        
# 2025-11-04 04:44:10  78.62MB 
# debian.sh --arch 'amd64' out/ 'trixie' '@1762202650'
                        
                    

镜像信息

{
    "Id": "sha256:76780aaa0d7d21efe3f510874ff1af05d1860bbdb64ce534931e33cd2999efcd",
    "RepoTags": [
        "ghcr.io/hkuds/lightrag:v1.4.9.8-lite",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag:v1.4.9.8-lite"
    ],
    "RepoDigests": [
        "ghcr.io/hkuds/lightrag@sha256:3b812d75492b9923ab0e8eb1163ea2cd4203f4e3bf3deb81b82f6d8c00c30acb",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/lightrag@sha256:ad2beec0d53d6e621b70625d50671ee51cce1e4de542aecf1c38309dd7300e7d"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-11-06T14:15:22.451300464Z",
    "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=/app/.venv/bin:/root/.local/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305",
            "PYTHON_VERSION=3.12.12",
            "PYTHON_SHA256=fb85a13414b028c49ba18bbd523c2d055a30b56b18b92ce454ea2c51edc656c4",
            "UV_SYSTEM_PYTHON=1",
            "TIKTOKEN_CACHE_DIR=/app/data/tiktoken",
            "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": "2025-11-06T14:13:42.735Z",
            "org.opencontainers.image.description": "[EMNLP2025] \"LightRAG: Simple and Fast Retrieval-Augmented Generation\"",
            "org.opencontainers.image.licenses": "MIT",
            "org.opencontainers.image.revision": "5bcd2926caf0a31dc52572108263a840b8d65aa3",
            "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": "v1.4.9.8-lite"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 517387810,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/2354d222691034b4904aa832a29b0fafc350c3a5cf406e9bffab5895cd9c853e/diff:/var/lib/docker/overlay2/c8a2515a9c63508d48d130bec3caad7e5a4096f2dbe2fbf75971b41625cdccc4/diff:/var/lib/docker/overlay2/e8cf1156afc63de85a5905b0b8926a93d35074e63ed35edf8f5578bddfd10f66/diff:/var/lib/docker/overlay2/1a56d306ed72ee2447c9c2c84b50771e5fae0b4d9da5df01ed9e3db127097eb7/diff:/var/lib/docker/overlay2/3a26398387b7522f433f0724d4da51903bc2f82558a31ed4b35bbb329bb549e2/diff:/var/lib/docker/overlay2/8057b6ddcfce0994d28ee23b79f33934877dce990fd42f79c361d1cef967c40f/diff:/var/lib/docker/overlay2/97317597a2812451e6308fd350d03cbfc7a590a31feb684e276568caea8523bb/diff:/var/lib/docker/overlay2/8adc9e4f01a4994cdc9a7d76e12097fbea4f805035593742b57db8c3011b421a/diff:/var/lib/docker/overlay2/362c8af1f81cf5722a32ef02a62061800e2b64d750bd2db426620a5643b24469/diff:/var/lib/docker/overlay2/4d1de93e50c1db847e038c2496215c64ae74cd5dbc725b23f2a52aab72aa7e52/diff:/var/lib/docker/overlay2/0ff862cb394f4ac385ddd2d49955c86cff87ba94bcec0765f8773c58efffe9d5/diff:/var/lib/docker/overlay2/ee8533a6a4c2e666edcf4efc80fe371103d2901ed90e2c12f18631a850d9d3bc/diff:/var/lib/docker/overlay2/d2a9c9d8eb688a380d42e3bdef9f031cdf441839941d2c1120a36a121378d97e/diff:/var/lib/docker/overlay2/22d292e6dc58948dc9044964d5989d6c4ac7d14cc1ccc5cde67d9d89411e5b74/diff",
            "MergedDir": "/var/lib/docker/overlay2/ed5f7a042d898a3cdcc950d9f5dfc5b635aec7e4767998d5a73f8c525b96d45e/merged",
            "UpperDir": "/var/lib/docker/overlay2/ed5f7a042d898a3cdcc950d9f5dfc5b635aec7e4767998d5a73f8c525b96d45e/diff",
            "WorkDir": "/var/lib/docker/overlay2/ed5f7a042d898a3cdcc950d9f5dfc5b635aec7e4767998d5a73f8c525b96d45e/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:36d06fe0cbc654e5f67d58c960ed33e53127e4a3288d8ce6f6a60a9c311794d4",
            "sha256:c50bad64b1f936327290f8df4206b1c0a257a91e5b5e67dbede790791645463c",
            "sha256:979c20da630872f1330a8c6bd5b84b81f5690ebca7c7145f6d0c76e04424b633",
            "sha256:1188393d057565287c30ba71f4d69bb2df2a3cdde0ea34fc77f8d9c7ac97d4b7",
            "sha256:0d8edc6333e6f82ac039279f7a5ff8df22ed535cc0b0def0a17c94296c3df681",
            "sha256:80ebfba4aebaccacf3779f3848301cc3f1cbde98b46571a1f2635890cfdc5a6a",
            "sha256:7c8cd3ff3d36d50589d08467997200c94956befe1707f52b1d75f44411ab49a4",
            "sha256:e4cfed35999b35cf14a945db893d9aa9415ee957ab9c47c28f938039af2e115e",
            "sha256:d34fb62243fc579c87b51e2c4a122f3ac1625a60ed15a8221aae9dc5ccdadd24",
            "sha256:13d9a6167a03c14d3ed0e95ed01dffedad31980b9899214dfc4c70c59b4dd990",
            "sha256:77f8777ea38b9dba81249d2f02f8382b3416c6254689f705a84859cc0241f438",
            "sha256:0b6ae31288eef1d68ce7d790d03134215eab91370472ad835216975d2aad5305",
            "sha256:9bd029ab2b20ee2b758db4519cad51e970d13b26cac4b75d15edb4068fc1a65d",
            "sha256:9850b649cc140e5856a3f1f803239428f896f80cf1adc73538ca40ed25922c9e",
            "sha256:42c096e523e100bd7077b5ade980700039e09aa09cf07d0b8c3f84a2a38f124d"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-12-19T09:21:48.775792648+08:00"
    }
}

更多版本

ghcr.io/hkuds/lightrag:latest

linux/amd64 ghcr.io1.04GB2025-06-09 21:46
737

ghcr.io/hkuds/lightrag:v1.4.9.8-lite

linux/amd64 ghcr.io517.39MB2025-12-19 09:22
9

ghcr.io/hkuds/lightrag:v1.4.9.8

linux/amd64 ghcr.io778.70MB2025-12-19 09:25
11