khoj/Dockerfile
Debanjum 69ef6829c1 Simplify integrating Ollama, OpenAI proxies with Khoj on first run
- Integrate with Ollama or other openai compatible APIs by simply
  setting `OPENAI_API_BASE' environment variable in docker-compose etc.
- Update docs on integrating with Ollama, openai proxies on first run
- Auto populate all chat models supported by openai compatible APIs
- Auto set vision enabled for all commercial models

- Minor
  - Add huggingface cache to khoj_models volume. This is where chat
  models and (now) sentence transformer models are stored by default
  - Reduce verbosity of yarn install of web app. Otherwise hit docker
  log size limit & stops showing remaining logs after web app install
  - Suggest `ollama pull <model_name>` to start it in background
2024-11-17 02:08:20 -08:00

48 lines
1.7 KiB
Docker

# syntax=docker/dockerfile:1
FROM ubuntu:jammy
LABEL homepage="https://khoj.dev"
LABEL repository="https://github.com/khoj-ai/khoj"
LABEL org.opencontainers.image.source="https://github.com/khoj-ai/khoj"
LABEL org.opencontainers.image.description="Your second brain, containerized for personal, local deployment."
# Install System Dependencies
RUN apt update -y && apt -y install \
python3-pip \
swig \
curl \
# Required by RapidOCR
libgl1 \
libglx-mesa0 \
libglib2.0-0 && \
# Required by Next.js Web app
curl -sL https://deb.nodesource.com/setup_20.x | bash - && \
curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | apt-key add - && \
echo "deb https://dl.yarnpkg.com/debian/ stable main" | tee /etc/apt/sources.list.d/yarn.list && \
apt update -y && apt -y --no-install-recommends install nodejs yarn && \
apt clean && rm -rf /var/lib/apt/lists/*
# Install Application
WORKDIR /app
COPY pyproject.toml .
COPY README.md .
ARG VERSION=0.0.0
RUN sed -i "s/dynamic = \\[\"version\"\\]/version = \"$VERSION\"/" pyproject.toml && \
pip install --no-cache-dir .
# Copy Source Code
COPY . .
# Set the PYTHONPATH environment variable in order for it to find the Django app.
ENV PYTHONPATH=/app/src:$PYTHONPATH
# Go to the directory src/interface/web and export the built Next.js assets
WORKDIR /app/src/interface/web
RUN bash -c "yarn install --frozen-lockfile && yarn ciexport && yarn cache clean"
WORKDIR /app
# Run the Application
# There are more arguments required for the application to run,
# but these should be passed in through the docker-compose.yml file.
ARG PORT
EXPOSE ${PORT}
ENTRYPOINT ["python3", "src/khoj/main.py"]