logo
docker.io/wechatopenai/weknora-docreader:v0.8.2
linux/amd64 docker.io 炜章 贡献

weknora-docreader是与微信开放AI相关的文档阅读器服务Docker镜像,用于提供文档解析及阅读功能,支持处理多种文档格式并展示内容,可集成到应用系统中以实现文档阅读能力。

20
浏览次数
3.92GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.8.2
源镜像
docker.io/wechatopenai/weknora-docreader:v0.8.2
镜像ID
sha256:d304b662c649c1278a563d6f5c7bf640de033ebf612772189aaca1367ac49018
镜像 TAG
v0.8.2
镜像大小
3.92GB
平台架构
linux/amd64
镜像源
docker.io
CMD
uv run -m docreader.main
启动入口
工作目录
/app
OS/平台
linux/amd64
镜像创建
2026-09-24T06:47:36.351817858Z
同步时间
2026-09-29 14:38
浏览量
20 次
贡献者
avatar 炜章
🔌 开放端口 1
50051/tcp
⚙️ 环境变量 6
KeyValue
PATH=/app/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
LANG=C.UTF-8 1
GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D 2
PYTHON_VERSION=3.10.18 3
PYTHON_SHA256=ae665bc678abd9ab6a6e1573d2481625a53719bc517e9a634ed2b9fefae3817f 4
VIRTUAL_ENV=/app/.venv 5
🏷️ 镜像标签 8
KeyValue
2026-09-24T06:45:43.241Z org.opencontainers.image.created
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki. org.opencontainers.image.description
NOASSERTION org.opencontainers.image.licenses
3e8b0bfc80b845b2d4b2ed683994748741450a97 org.opencontainers.image.revision
https://github.com/Tencent/WeKnora org.opencontainers.image.source
WeKnora org.opencontainers.image.title
https://github.com/Tencent/WeKnora org.opencontainers.image.url
v0.8.2 org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.8.2
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.8.2  docker.io/wechatopenai/weknora-docreader:v0.8.2

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.8.2
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.8.2  docker.io/wechatopenai/weknora-docreader:v0.8.2

Shell快速替换命令

sed -i 's#wechatopenai/weknora-docreader:v0.8.2#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.8.2#' 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/wechatopenai/weknora-docreader:v0.8.2 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.8.2  docker.io/wechatopenai/weknora-docreader:v0.8.2'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.8.2 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.8.2  docker.io/wechatopenai/weknora-docreader:v0.8.2'

镜像构建历史


# 2026-09-24 14:47:36  0.00B 设置默认要执行的命令
CMD ["uv" "run" "-m" "docreader.main"]
                        
# 2026-09-24 14:47:36  0.00B 声明容器运行时监听的端口
EXPOSE [50051/tcp]
                        
# 2026-09-24 14:47:36  0.00B 执行命令并创建新的镜像层
RUN |2 APT_MIRROR= TARGETARCH=amd64 /bin/sh -c mkdir -p /tmp/docreader # buildkit
                        
# 2026-09-24 14:47:36  1.04MB 复制新文件或目录到容器中
COPY /app/docreader docreader # buildkit
                        
# 2026-09-24 14:47:36  402.44KB 复制新文件或目录到容器中
COPY docreader/pyproject.toml docreader/uv.lock ./ # buildkit
                        
# 2026-09-24 14:47:36  138.47MB 执行命令并创建新的镜像层
RUN |2 APT_MIRROR= TARGETARCH=amd64 /bin/sh -c python -m playwright install-deps webkit # buildkit
                        
# 2026-09-24 14:47:28  286.07MB 执行命令并创建新的镜像层
RUN |2 APT_MIRROR= TARGETARCH=amd64 /bin/sh -c python -m playwright install webkit # buildkit
                        
# 2026-09-24 14:47:25  56.03MB 复制新文件或目录到容器中
COPY /usr/local/bin /usr/local/bin # buildkit
                        
# 2026-09-24 14:47:24  0.00B 设置环境变量 PATH
ENV PATH=/app/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-09-24 14:47:24  564.17MB 复制新文件或目录到容器中
COPY /app/.venv /app/.venv # buildkit
                        
# 2026-09-24 14:47:23  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/.venv
                        
# 2026-09-24 14:47:23  11.46MB 执行命令并创建新的镜像层
RUN |2 APT_MIRROR= TARGETARCH=amd64 /bin/sh -c if [ -z "$TARGETARCH" ]; then         case $(uname -m) in             "x86_64") TARGETARCH="amd64" ;;             "aarch64") TARGETARCH="arm64" ;;             "armv7l") TARGETARCH="arm" ;;             *) echo "Unsupported architecture: $(uname -m)" && exit 1 ;;         esac;         echo "[自动检测] 架构: $TARGETARCH";     else         echo "[BuildKit] 架构: $TARGETARCH";     fi &&     GRPC_HEALTH_PROBE_VERSION=v0.4.24 &&     case $TARGETARCH in         "amd64") ARCH="amd64" ;;         "arm64") ARCH="arm64" ;;         "arm") ARCH="arm" ;;         *) echo "Unsupported architecture: $TARGETARCH" && exit 1 ;;     esac &&     wget -qO/bin/grpc_health_probe https://github.com/grpc-ecosystem/grpc-health-probe/releases/download/${GRPC_HEALTH_PROBE_VERSION}/grpc_health_probe-linux-${ARCH} &&     chmod +x /bin/grpc_health_probe # buildkit
                        
# 2026-09-24 14:47:22  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2026-09-24 14:47:22  1.86GB 执行命令并创建新的镜像层
RUN |1 APT_MIRROR= /bin/sh -c apt-get update && apt-get install -y     libjpeg62-turbo     wget     gnupg     openjdk-17-jre-headless     libgl1     libglib2.0-0     antiword     tar     dpkg     libxinerama1     libfontconfig1     libdbus-glib-1-2     libcairo2     libcups2     libglu1-mesa     libsm6     libreoffice     curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-09-24 14:46:04  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2026-09-24 12:11:08  0.00B 执行命令并创建新的镜像层
RUN |1 APT_MIRROR= /bin/sh -c if [ -n "$APT_MIRROR" ]; then         sed -i "s@http://deb.debian.org@${APT_MIRROR}@g" /etc/apt/sources.list.d/debian.sources &&         sed -i "s@http://security.debian.org@${APT_MIRROR}@g" /etc/apt/sources.list.d/debian.sources;     fi # buildkit
                        
# 2026-09-24 12:11:08  0.00B 定义构建参数
ARG APT_MIRROR=
                        
# 2025-08-09 02:20:34  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-08-09 02:20:34  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
                        
# 2025-08-09 02:20:34  55.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		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="$(dpkg-buildflags --get LDFLAGS)"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		bin="$(readlink -ve /usr/local/bin/python3)"; 	dir="$(dirname "$bin")"; 	mkdir -p "/usr/share/gdb/auto-load/$dir"; 	cp -vL Tools/gdb/libpython.py "/usr/share/gdb/auto-load/$bin-gdb.py"; 		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; 		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
                        
# 2025-08-09 02:20:34  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=ae665bc678abd9ab6a6e1573d2481625a53719bc517e9a634ed2b9fefae3817f
                        
# 2025-08-09 02:20:34  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.10.18
                        
# 2025-08-09 02:20:34  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2025-08-09 02:20:34  17.78MB 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 		libbluetooth-dev 		tk-dev 		uuid-dev 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-08-09 02:20:34  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-08-09 02:20:34  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
                        
# 2024-01-09 09:14:25  587.78MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -ex; 	apt-get update; 	apt-get install -y --no-install-recommends 		autoconf 		automake 		bzip2 		default-libmysqlclient-dev 		dpkg-dev 		file 		g++ 		gcc 		imagemagick 		libbz2-dev 		libc6-dev 		libcurl4-openssl-dev 		libdb-dev 		libevent-dev 		libffi-dev 		libgdbm-dev 		libglib2.0-dev 		libgmp-dev 		libjpeg-dev 		libkrb5-dev 		liblzma-dev 		libmagickcore-dev 		libmagickwand-dev 		libmaxminddb-dev 		libncurses5-dev 		libncursesw5-dev 		libpng-dev 		libpq-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		libtool 		libwebp-dev 		libxml2-dev 		libxslt-dev 		libyaml-dev 		make 		patch 		unzip 		xz-utils 		zlib1g-dev 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-01-09 09:14:25  177.16MB 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 		git 		mercurial 		openssh-client 		subversion 				procps 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-05-11 07:29:59  48.40MB 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 		curl 		gnupg 		netbase 		sq 		wget 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-05-11 07:29:59  116.54MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1759104000'
                        
                    

镜像信息

{
    "Id": "sha256:d304b662c649c1278a563d6f5c7bf640de033ebf612772189aaca1367ac49018",
    "RepoTags": [
        "wechatopenai/weknora-docreader:v0.8.2",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.8.2"
    ],
    "RepoDigests": [
        "wechatopenai/weknora-docreader@sha256:3c36e7e738ba515315523876d8041f9bb02809145a4e3b331e2550e4bff98b7a",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader@sha256:b4fd14d821b5dc3d8030b12bb12eb92d816e64942013f2e66a124abd91953cd4"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-09-24T06:47:36.351817858Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "50051/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/app/.venv/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=3.10.18",
            "PYTHON_SHA256=ae665bc678abd9ab6a6e1573d2481625a53719bc517e9a634ed2b9fefae3817f",
            "VIRTUAL_ENV=/app/.venv"
        ],
        "Cmd": [
            "uv",
            "run",
            "-m",
            "docreader.main"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2026-09-24T06:45:43.241Z",
            "org.opencontainers.image.description": "Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.",
            "org.opencontainers.image.licenses": "NOASSERTION",
            "org.opencontainers.image.revision": "3e8b0bfc80b845b2d4b2ed683994748741450a97",
            "org.opencontainers.image.source": "https://github.com/Tencent/WeKnora",
            "org.opencontainers.image.title": "WeKnora",
            "org.opencontainers.image.url": "https://github.com/Tencent/WeKnora",
            "org.opencontainers.image.version": "v0.8.2"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 3917907727,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/ce7532733b6c4d55269e3f70677e57adabb97c89dfc84019413329fa2343aed4/diff:/var/lib/docker/overlay2/1412ec4cc1bee9e0bb106de922a5081359213ff60284cb71b8ea6f842121f5f2/diff:/var/lib/docker/overlay2/98a960808c75a83556b6d1f1b1aa7c573aab6dfe94a37838a75702858124921b/diff:/var/lib/docker/overlay2/161ab29169d267c22b8c34dea5f7fc9f08d4ea845a341da89f796fcb3187d668/diff:/var/lib/docker/overlay2/f2f5d66529649dfbef1c07a8e05113477ff90b47bf1d8c81ec509b01baac62ea/diff:/var/lib/docker/overlay2/d9fa7d60c99d65491c2ca3faae5025f2a9589062ac5855990df94f40269d77e9/diff:/var/lib/docker/overlay2/77f8d7c2eec39b38ffdcb75628e2e548b1704343db54caa43d033e8761dbabde/diff:/var/lib/docker/overlay2/46640ffd25e13076e6c0e66196c06fba194b6d713fca7fa50d4429cea65200a7/diff:/var/lib/docker/overlay2/c55f51aaeb7de7413a51d8c9da911a0319eacdf86a7ccc9c0906dfc38d08ed49/diff:/var/lib/docker/overlay2/d9a78f4da0a0d48f578ba5f7d52feb5c213f186242f336dd02eda67002341b79/diff:/var/lib/docker/overlay2/a12031c2cbe06594da77a94eba5d7ba9b1e577e166ee955ba27471dc21227261/diff:/var/lib/docker/overlay2/0e7775ea200bb661878ffcfc6dfd947ccef40d66cb57e64727a098765786ecd1/diff:/var/lib/docker/overlay2/f5993672a8ff9120637bb282f6aa667595734bc827c13e8d651e9fa7c44d0951/diff:/var/lib/docker/overlay2/71c580fe72184ef16b086e5867a9ac5a3d76ed08edf0b2e96cd7304bf79a39a8/diff:/var/lib/docker/overlay2/96c5b91dd415b341efe1a35a6919f2d11937b0e17aaf50c59732a398a6c9d90f/diff:/var/lib/docker/overlay2/b11c463acc4c008dc6e2f5b69cf92f00fcb3df048cce180f136c8d1dabff3a8f/diff:/var/lib/docker/overlay2/e11b0e8473d6a170c2c38b0d3fd74983342ee53850d0413adeaa46b7050e0fe8/diff",
            "MergedDir": "/var/lib/docker/overlay2/538688d2fb303e681fdd4dae5db5bd9ea3f07430983bd8e72b8f34861a63a744/merged",
            "UpperDir": "/var/lib/docker/overlay2/538688d2fb303e681fdd4dae5db5bd9ea3f07430983bd8e72b8f34861a63a744/diff",
            "WorkDir": "/var/lib/docker/overlay2/538688d2fb303e681fdd4dae5db5bd9ea3f07430983bd8e72b8f34861a63a744/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:3b385b8d2549f221564f3f6aae76bab67aa91e58ba61aaf39bbd993f2ef7a64e",
            "sha256:3f1630e3667fa3aab806eb43a53f678067f676608a99de8ead90270b5fb246cf",
            "sha256:060ee1077a8d8a43f7c216de1ffa4079b79dc5ca6ffe678aa9d0b1f25d68ba21",
            "sha256:1bd72b14925918d0296097021acb3f2c90ed841f180b8312f4226a6d084f88a6",
            "sha256:4da526b8d35a33b6fdb5cef5a04eaeeb679252b2d959e0e3f8b6d44a94f5f872",
            "sha256:4d12a84a1071c394ba692ce122a03fd9fb6a69ffc90df7c92e4712a376f99c8e",
            "sha256:2fc57789fca716d826925a110e0957ccf799a36cb247b0188796c3647675374c",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:34676c082b3107bf1b9f34b451baae23687b69e79a05072601c569853e7bc417",
            "sha256:496ac60a6cb19bd9294d27fb2daa6cb1df51e2e4479b58501a7bddff26262cba",
            "sha256:233e639b108669e5ef1a03a974dce6c15291682b825107ce5d78f0ee1a850177",
            "sha256:9b09553a1577c7a4c64c6b4a464f2f64bf4fd0a691b92bdcb0a636e973cf35a4",
            "sha256:636532ea4b8e1e528f5d73a7ef62c2046e1eb8d2188e85e676a7aaadaaf33c78",
            "sha256:eaeb243a8d242e8dc1069ba9845162887417aa5139d73079975e202409f96114",
            "sha256:de240b38f7fd9fc33466366ccaf5a5859361747c11177c6e6bcd612447f7ddb5",
            "sha256:36176060ad49a722a9e417c10b4dd9f22bb10d9a161b3361eaf17924ac4cc2e0",
            "sha256:218894fab61e8070adf8b3c8db8a43fd7bfae5c57c081df9ba0c05ef7708320f",
            "sha256:14995a91f60ffb757cc5be7e794cb296d888fd54f2b3f8830f8b11960c131c83"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-09-29T14:37:02.379395153+08:00"
    }
}

更多版本

docker.io/wechatopenai/weknora-docreader:latest

linux/amd64 docker.io5.17GB2025-09-02 01:43
1155

docker.io/wechatopenai/weknora-docreader:main

linux/amd64 docker.io5.46GB2025-12-16 14:04
449

docker.io/wechatopenai/weknora-docreader:main

linux/arm64 docker.io4.85GB2025-12-16 14:34
314

docker.io/wechatopenai/weknora-docreader:v0.2.1

linux/amd64 docker.io5.46GB2025-12-14 12:40
526

docker.io/wechatopenai/weknora-docreader:v0.3.0

linux/amd64 docker.io5.46GB2026-02-13 00:06
407

docker.io/wechatopenai/weknora-docreader:v0.3.5

linux/amd64 docker.io5.44GB2026-04-02 09:41
279

docker.io/wechatopenai/weknora-docreader:v0.3.6

linux/amd64 docker.io5.44GB2026-04-04 02:48
301

docker.io/wechatopenai/weknora-docreader:v0.5.0

linux/amd64 docker.io5.46GB2026-04-27 18:00
192

docker.io/wechatopenai/weknora-docreader:v0.5.1

linux/amd64 docker.io5.46GB2026-05-06 17:05
173

docker.io/wechatopenai/weknora-docreader:v0.6.0

linux/amd64 docker.io3.87GB2026-05-27 16:43
153

docker.io/wechatopenai/weknora-docreader:v0.6.1

linux/amd64 docker.io3.92GB2026-06-08 15:41
162

docker.io/wechatopenai/weknora-docreader:v0.6.2

linux/amd64 docker.io3.92GB2026-06-10 17:01
168

docker.io/wechatopenai/weknora-docreader:v0.6.3

linux/amd64 docker.io3.92GB2026-06-28 20:50
220

docker.io/wechatopenai/weknora-docreader:v0.7.0

linux/amd64 docker.io3.93GB2026-07-20 10:55
257

docker.io/wechatopenai/weknora-docreader:v0.7.2

linux/amd64 docker.io3.92GB2026-08-08 14:19
167

docker.io/wechatopenai/weknora-docreader:v0.8.0

linux/amd64 docker.io3.91GB2026-09-04 20:46
137

docker.io/wechatopenai/weknora-docreader:v0.8.2

linux/amd64 docker.io3.92GB2026-09-29 14:38
19
检测到您正在使用广告拦截插件,本站为公益站点,依赖广告维持运转 🙏 查看如何关闭 ×