docker.io/wechatopenai/weknora-docreader:v0.6.2 linux/amd64

docker.io/wechatopenai/weknora-docreader:v0.6.2 - 国内下载镜像源 浏览次数:15 神经蛙 贡献同步

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。

源镜像 docker.io/wechatopenai/weknora-docreader:v0.6.2
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.6.2
镜像ID sha256:44da27ac07caa3a4470b0245ea3d10eed2988a670eb5f579f472ed34403d0b2a
镜像TAG v0.6.2
大小 3.92GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD uv run -m docreader.main
启动入口
工作目录 /app
OS/平台 linux/amd64
浏览量 15 次
贡献者
avatar
神经蛙
镜像创建 2026-06-09T15:58:43.71798207Z
同步时间 2026-06-10 17:01
开放端口
50051/tcp
环境变量
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
镜像标签
2026-06-10T07:24:16.569Z: 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 fc98f000d86f1cca7d452bc21fee35d559e85556: 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 v0.6.2: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: debian 12.12 扫描引擎: Trivy 扫描时间: 2026-06-10 17:02

低危漏洞:1476 中危漏洞:2989 高危漏洞:900 严重漏洞:173

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.6.2
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.6.2  docker.io/wechatopenai/weknora-docreader:v0.6.2

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.6.2
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.6.2  docker.io/wechatopenai/weknora-docreader:v0.6.2

Shell快速替换命令

sed -i 's#wechatopenai/weknora-docreader:v0.6.2#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.6.2#' 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:v0.6.2 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.6.2  docker.io/wechatopenai/weknora-docreader:v0.6.2'

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:v0.6.2 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.6.2  docker.io/wechatopenai/weknora-docreader:v0.6.2'

镜像构建历史


# 2026-06-09 23:58:43  0.00B 设置默认要执行的命令
CMD ["uv" "run" "-m" "docreader.main"]
                        
# 2026-06-09 23:58:43  0.00B 声明容器运行时监听的端口
EXPOSE [50051/tcp]
                        
# 2026-06-09 23:58:43  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
                        
# 2026-06-09 23:58:43  823.17KB 复制新文件或目录到容器中
COPY /app/docreader docreader # buildkit
                        
# 2026-06-09 23:58:43  406.34KB 复制新文件或目录到容器中
COPY docreader/pyproject.toml docreader/uv.lock ./ # buildkit
                        
# 2026-06-03 12:32:42  135.92MB 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
                        
# 2026-06-03 12:32:34  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
                        
# 2026-06-03 12:32:29  65.92MB 复制新文件或目录到容器中
COPY /usr/local/bin /usr/local/bin # buildkit
                        
# 2026-06-03 12:32:28  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
                        
# 2026-06-03 12:32:28  562.85MB 复制新文件或目录到容器中
COPY /app/.venv /app/.venv # buildkit
                        
# 2026-06-03 12:32:26  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/.venv
                        
# 2026-06-03 12:32:26  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
                        
# 2026-06-03 12:32:25  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2026-06-03 12:32:25  1.85GB 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
                        
# 2026-04-23 13:49:36  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2026-04-23 13:49:36  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
                        
# 2026-04-23 13:49:36  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": "sha256:44da27ac07caa3a4470b0245ea3d10eed2988a670eb5f579f472ed34403d0b2a",
    "RepoTags": [
        "wechatopenai/weknora-docreader:v0.6.2",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader:v0.6.2"
    ],
    "RepoDigests": [
        "wechatopenai/weknora-docreader@sha256:e977051435146939abc32d5aa595847060377be77705d3de2ff5b6f6bcc3b9ee",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/wechatopenai/weknora-docreader@sha256:ac3ab97da05fd17b0cd7ae41eedc2b88269392584995d7248064e6c260692244"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-06-09T15:58:43.71798207Z",
    "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": "2026-06-10T07:24:16.569Z",
            "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": "fc98f000d86f1cca7d452bc21fee35d559e85556",
            "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": "v0.6.2"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 3920067126,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/13a1433dffafacb60dced06c40f23c9d630eab33c8f4e937a8793778eb3f3958/diff:/var/lib/docker/overlay2/1d97e3d819f436d40a82dd97eb314c2dcdba9777c3fa67bb18a53baf9d536430/diff:/var/lib/docker/overlay2/916095c11bbbb2a8ca318361db359739ad845e5bdf920d113c1735512bc42e21/diff:/var/lib/docker/overlay2/e79e71000a8179b6dfe3a1e6539226caad5a986cfb054cf75702c1a33024811b/diff:/var/lib/docker/overlay2/493dac63c05e617a2b3136fcfb12225a0397831dd2d14e84552b0725abc5124c/diff:/var/lib/docker/overlay2/231f8ca7ab3af53312d8f8cb7c11198e42d86196193f738de9dc138582dcbfae/diff:/var/lib/docker/overlay2/1a3dec297283af82743783a295104136321bf0b60bcb4de0da3c2f21fd9732d8/diff:/var/lib/docker/overlay2/f238ef6cab98f6aadad5bd4bfc20fc508f97c6f9277ba0b7ace6fc9b09f79f2e/diff:/var/lib/docker/overlay2/ef3dbb262428fdc93a54538548291d57b08f8b30cd0f4fed4de4f7b07c52d802/diff:/var/lib/docker/overlay2/ee68d636392c99ae4352c58675505e2936f6d6a0eee6f66e3d8549e790f689c5/diff:/var/lib/docker/overlay2/a943775df3cc387825cd5240521c2d1d09c1459f9d3b175cb3c22a00b547dce2/diff:/var/lib/docker/overlay2/94e0f975a2094079c36e068ad863e07e90108a840f9fec2365c620b13a06cd56/diff:/var/lib/docker/overlay2/4a5c4987bde98a2e979586d4ac6a55f6bee371e176b51204708d52843f747ac9/diff:/var/lib/docker/overlay2/1f67da1c8144b0913b8b782ae94471c2a168911ccdfbdd309d6a549cb095b2e3/diff:/var/lib/docker/overlay2/42e0cc4bffaab96c3a1e910820e8d265b667025ee9997e05c1714d431f528730/diff:/var/lib/docker/overlay2/c16bf9c21f07ca8d9a6015e87a3fd3a37f76de2608dcfcb8c2835144dd497743/diff:/var/lib/docker/overlay2/ebd84d91272adeb29dba270c05bda9ccbdd77c7950442dc0e911184f0388aa64/diff",
            "MergedDir": "/var/lib/docker/overlay2/5dae4bf9dc6f305e6c7a8aa46fb61663e700445762f6c6e2eef11cf649ff4fb0/merged",
            "UpperDir": "/var/lib/docker/overlay2/5dae4bf9dc6f305e6c7a8aa46fb61663e700445762f6c6e2eef11cf649ff4fb0/diff",
            "WorkDir": "/var/lib/docker/overlay2/5dae4bf9dc6f305e6c7a8aa46fb61663e700445762f6c6e2eef11cf649ff4fb0/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:3b385b8d2549f221564f3f6aae76bab67aa91e58ba61aaf39bbd993f2ef7a64e",
            "sha256:3f1630e3667fa3aab806eb43a53f678067f676608a99de8ead90270b5fb246cf",
            "sha256:060ee1077a8d8a43f7c216de1ffa4079b79dc5ca6ffe678aa9d0b1f25d68ba21",
            "sha256:1bd72b14925918d0296097021acb3f2c90ed841f180b8312f4226a6d084f88a6",
            "sha256:4da526b8d35a33b6fdb5cef5a04eaeeb679252b2d959e0e3f8b6d44a94f5f872",
            "sha256:4d12a84a1071c394ba692ce122a03fd9fb6a69ffc90df7c92e4712a376f99c8e",
            "sha256:2fc57789fca716d826925a110e0957ccf799a36cb247b0188796c3647675374c",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:bafb8ddaaad025a2b0d020ac489152d8713bc50ad0e713743d7f9ff55429fadc",
            "sha256:302114de04af7dffa2a547206c94b107ae83cbeeebcfd2e267d965733d20ddb3",
            "sha256:3a282fcd03105f7c14896d68546bd618c938496aba2fb27693fdf2d7a7e3d995",
            "sha256:14471df546315814b71fbf3a5d9965876dad0c9197a4bc96972b6cad0ea974eb",
            "sha256:c24176d0f7bb6afe048e5799d6d19336a103c4ea89bd93802eb48e7b8a14d580",
            "sha256:cb84783adbb9a1e0d3f8555a844ba91916cb79048d0f5de50cb09a3464e0fb9c",
            "sha256:0ec750933cf2cdd1f54d53c396dbc9f9fbfd06a65c4bdd1dd4520ca96a580ee5",
            "sha256:4838b9e5e700fe25952cb93366cecbc9b4d7189204e456c8395a247ca296360a",
            "sha256:50a114aa77e9c839566f493e4a7cc136ccf83c565263133cd52a5be48ed372ec",
            "sha256:af7f6711d83dd98836f73ec83e9bff19eee820c796c1872bdf83160508fc8cb9"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-06-10T17:01:49.51603583+08:00"
    }
}

更多版本

docker.io/wechatopenai/weknora-docreader:latest

linux/amd64 docker.io5.17GB2025-09-02 01:43
903

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

linux/amd64 docker.io5.46GB2025-12-14 12:40
404

docker.io/wechatopenai/weknora-docreader:main

linux/amd64 docker.io5.46GB2025-12-16 14:04
308

docker.io/wechatopenai/weknora-docreader:main

linux/arm64 docker.io4.85GB2025-12-16 14:34
218

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

linux/amd64 docker.io5.46GB2026-02-13 00:06
233

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

linux/amd64 docker.io5.44GB2026-04-02 09:41
158

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

linux/amd64 docker.io5.44GB2026-04-04 02:48
176

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

linux/amd64 docker.io5.46GB2026-04-27 18:00
104

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

linux/amd64 docker.io5.46GB2026-05-06 17:05
92

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

linux/amd64 docker.io3.87GB2026-05-27 16:43
55

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

linux/amd64 docker.io3.92GB2026-06-08 15:41
25

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

linux/amd64 docker.io3.92GB2026-06-10 17:01
14