This is a LlamaIndex project using FastAPI bootstrapped with create-llama.

Getting Started

First, setup the environment with poetry:

Note: This step is not needed if you are using the dev-container.

poetry install

Then check the parameters that have been pre-configured in the .env file in this directory. (E.g. you might need to configure an OPENAI_API_KEY if you're using OpenAI as model provider).

Second, generate the embeddings of the documents in the ./data directory (if this folder exists - otherwise, skip this step):

poetry run generate

Third, run all the agents in one command:

poetry run python main.py

Learn More

To learn more about LlamaIndex, take a look at the following resources:

• LlamaIndex Documentation - learn about LlamaIndex.

You can check out the LlamaIndex GitHub repository - your feedback and contributions are welcome!