EpsteinFiles-RAG

EpsteinFiles-RAG is a robust retrieval-augmented generation (RAG) pipeline designed for querying a large dataset of documents, specifically the 'Epstein Files 20K.' It leverages intelligent document processing techniques, such as smart chunking and the Maximal Marginal Relevance (MMR) algorithm, to deliver accurate, grounded answers from a searchable vector database within seconds. Notable features include a REST API, interactive web interface, fast query responses, and production-ready capabilities with error handling and logging support.