Production-Grade Approaches for RAG System Design

Summary

Production-grade RAG system design emphasizes efficient document handling by fingerprinting PDFs to reduce redundancy, embedding on access, and using keyword filters before vector searches to improve latency. It advocates for a retrieval approach that combines BM25 for recall with vectors for relevance, while managing context to enhance accuracy and reduce token usage. Overall, it reframes RAG as a retrieval system rather than just an embedding project.