Applying OpenAI's RAG Strategies

OpenAI shared RAG (retrieval-augmented generation) experiment results from a real customer project, testing multiple strategies to improve how AI systems find and use information. Key methods included query expansion, document re-ranking, smart routing between databases, and adjusting chunk sizes during indexing. Results varied by approach, proving no single solution works for every application, making evaluation and testing essential for finding what works best.