Index Documents Into A Vector Database With Configurable Embeddings

Python RAG demo that indexes documents into Chroma, answers questions via LangChain models, and lets you visually explore question/snippet embeddings with Renumics Spotlight and UMAP to debug and evaluate retrieval quality.

RAG | Python · langchain · streamlit