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Arguflow is a truly all-in-one service for hosting AI powered semantic search and LLM retrieval-augmented generation (RAG) on your data.

• OpenCaselist search
• OpenCaselist RAG
• Enron Corpus search
• Enron Corpus RAG

1. Find an issue in the issues tab that you would like to work on.
2. Fork the repository and clone it to your local machine
3. Create a new branch with a descriptive name: git checkout -b your-branch-name
4. Solve the issue by adding or removing code on your forked branch.
5. Test your changes locally to ensure that they do not break anything
6. Commit your changes with a descriptive commit message: git commit -m "Add descriptive commit message here"
7. Push your changes to your forked repository: git push origin your-branch-name
8. Open a pull request to the main repository and describe your changes in the PR description

We have a full self-hosting guide available on our documentation page here.

curl \
gcc \
g   \
make \
pkg-config \
python3 \
python3-pip \
libpq-dev \
libssl-dev \
openssl \
libreoffice

You can use the following, but we recommend using NVM and then running yarn --cwd ./server-nodejs install .

RUN curl -fsSL https://deb.nodesource.com/setup_18.x | bash - && \
    apt-get install -y nodejs && \
    npm install -g yarn && \
    yarn --cwd ./server-nodejs install

yarn --cwd ./server/server-nodejs

cp .env.chat ./chat/.env
cp .env.search ./search/.env
cp .env.server ./server/.env

Here is a guide for acquiring that.

1. Open the ./server/.env file
2. Replace the value for OPENAI_API_KEY to be your own OpenAI API key.

cat .env.chat .env.search .env.server .env.docker-compose > .env
./convenience.sh -l

We know this is bad. Currently, We recommend managing this through tmux or VSCode terminal tabs.

cd server
cargo watch -x run

cd search
yarn
yarn dev

cd chat
yarn
yarn dev