MeTTa-AI-Assistant

Running the Backend

1. Clone the repository

git clone https://github.com/iCog-Labs-Dev/MeTTa-AI-Assistant
cd MeTTa-AI-Assistant/Backend

2. Set up environment

cp .env.example .env
# Update .env with your values

3. Ingest documents (first time setup)

Before running the application, you need to ingest documents:

docker compose run --rm api python -m app.scripts.ingest_docs

You can also use the --force flag to re-ingest documents:

docker compose run --rm api python -m app.scripts.ingest_docs --force

This only needs to be done once (unless you want to re-ingest with --force).

4. Build and run using Docker

docker-compose up --build

This will start the FastAPI server on http://localhost:8000.

5. Ingest documents (for local setup)

Before running the application locally, you need to ingest documents:

python -m app.scripts.ingest_docs

You can also use the --force flag to re-ingest documents:

python -m app.scripts.ingest_docs --force

6. Run locally (without Docker)

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux/macOS
venv\Scripts\activate     # Windows

# Install dependencies
pip install -r requirements.txt

# Start FastAPI server
python -m run.py

Note: Remove the --reload flag in production.