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# base stage
FROM ubuntu:24.04 AS base
USER root
ENV LIGHTEN=0
WORKDIR /ragflow
RUN rm -f /etc/apt/apt.conf.d/docker-clean \
&& echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' > /etc/apt/apt.conf.d/keep-cache
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
apt update && apt-get --no-install-recommends install -y ca-certificates
# if you located in China, you can use tsinghua mirror to speed up apt
RUN sed -i 's|http://archive.ubuntu.com|https://mirrors.tuna.tsinghua.edu.cn|g' /etc/apt/sources.list.d/ubuntu.sources
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
apt update && apt install -y curl libpython3-dev nginx libglib2.0-0 libglx-mesa0 \
&& rm -rf /var/lib/apt/lists/* \
&& curl -sSL https://install.python-poetry.org | python3 -
ENV PYTHONDONTWRITEBYTECODE=1 LD_LIBRARY_PATH=usr/lib/x86_64-linux-gnu/openmpi/lib:$LD_LIBRARY_PATH
# Configure Poetry
ENV POETRY_NO_INTERACTION=1
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
ENV POETRY_VIRTUALENVS_CREATE=true
ENV POETRY_REQUESTS_TIMEOUT=15
# builder stage
FROM base AS builder
USER root
WORKDIR /ragflow
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
apt update && apt install -y nodejs npm cargo && \
rm -rf /var/lib/apt/lists/*
COPY web web
RUN cd web && npm i --force && npm run build
# install dependencies from poetry.lock file
COPY pyproject.toml poetry.toml poetry.lock ./
RUN --mount=type=cache,target=/root/.cache/pypoetry,sharing=locked \
if [ "$LIGHTEN" -eq 0 ]; then \
/root/.local/bin/poetry install --sync --no-cache --no-root --with=full; \
else \
/root/.local/bin/poetry install --sync --no-cache --no-root; \
fi
# production stage
FROM base AS production
USER root
WORKDIR /ragflow
# Install python packages' dependencies
# cv2 requires libGL.so.1
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
apt update && apt install -y --no-install-recommends nginx libgl1 vim less && \
rm -rf /var/lib/apt/lists/*
COPY web web
COPY api api
COPY conf conf
COPY deepdoc deepdoc
COPY rag rag
COPY agent agent
COPY graphrag graphrag
COPY pyproject.toml poetry.toml poetry.lock ./
# Copy models downloaded via download_deps.py
RUN mkdir -p /ragflow/rag/res/deepdoc /root/.ragflow
RUN --mount=type=bind,source=huggingface.io,target=/huggingface.io \
tar --exclude='.*' -cf - \
/huggingface.io/InfiniFlow/text_concat_xgb_v1.0 \
/huggingface.io/InfiniFlow/deepdoc \
| tar -xf - --strip-components=3 -C /ragflow/rag/res/deepdoc
RUN --mount=type=bind,source=huggingface.io,target=/huggingface.io \
tar -cf - \
/huggingface.io/BAAI/bge-large-zh-v1.5 \
/huggingface.io/BAAI/bge-reranker-v2-m3 \
/huggingface.io/maidalun1020/bce-embedding-base_v1 \
/huggingface.io/maidalun1020/bce-reranker-base_v1 \
| tar -xf - --strip-components=2 -C /root/.ragflow
# Copy compiled web pages
COPY --from=builder /ragflow/web/dist /ragflow/web/dist
# Copy Python environment and packages
ENV VIRTUAL_ENV=/ragflow/.venv
COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV}
ENV PATH="${VIRTUAL_ENV}/bin:/root/.local/bin:${PATH}"
# Download nltk data
RUN python3 -m nltk.downloader wordnet punkt punkt_tab
ENV PYTHONPATH=/ragflow/
COPY docker/entrypoint.sh ./entrypoint.sh
RUN chmod +x ./entrypoint.sh
ENTRYPOINT ["./entrypoint.sh"]
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