This is a LlamaIndex project bootstrapped with create-llama.
First, startup the backend as described in the backend README.
Second, run the development server of the frontend as described in the frontend README.
Open http://localhost:3000 with your browser to see the result.
First check setup instructions in both frontend and backend and set env's. Make sure you have docker installed. Create file Caddyfile in project root based on Caddyfile.example.
Then first run:
docker compose up -d
optionally before running up command, you can build images first individually or all at once:
docker compose build
or
docker compose build <service>
When services are up, generate AI embeddings:
docker compose exec backend /bin/bash
poetry run generate
exit
To learn more about LlamaIndex, take a look at the following resources:
- LlamaIndex Documentation - learn about LlamaIndex (Python features).
- LlamaIndexTS Documentation - learn about LlamaIndex (Typescript features).
You can check out the LlamaIndexTS GitHub repository - your feedback and contributions are welcome!