llama_index_starter_pack

Why we included this project

Anyone who learns better from runnable code than from tutorials will get something out of this starter pack. It wraps llama_index in a few small web frontends: a Flask API with a React UI, a Streamlit app that queries a vector index, and a Streamlit sandbox that runs text-to-SQL and agent-style chat against a local database. Each example comes with a Dockerfile, so you can get a working demo on your own machine without fighting the environment setup. The code stays deliberately small and readable, which helps you see how the pieces of a RAG app connect before you scale up. If you are weighing llama_index for a proof of concept, these templates will save you the work of wiring everything together yourself.