LlamaIndex Documentation Helper

Notes: You need to have python and pipenv installed.

Functionality

This project is a simple RAG implementation that allows you to ask questions about the LlamaIndex documentation and get answers based on the documentation.

Files Description

• download_docs.py: This file downloads the LlamaIndex documentation and saves it in a local folder.
• ingest.py: This file is used to ingest the LlamaIndex documentation into a Pinecone index.
• main.py: This file contains the RAG implementation.

Run Locally

• Clone the repository https://github.com/riveramariano/llmaindex-documentation-helper.git
• Run pipenv install & pipenv shell to initialize the virtual env:
• Decompress the llamaindex-docs.zip file in the root folder
• Run python ingestion.py to ingest the documentation into a Pinecone index (create your own index before running the script)
• Run streamlit run main.py to start the application