Applying OpenAI's RAG Strategies

OpenAI reported a series of experiments on Retrieve-Augment-Generate (RAG) methods for a customer. The methods can be categorized into Baseline, Query Transformations, Routing, Query Construction, Building the Index, and Post-Processing. Some notable methods include Query expansion, HyDE, Step back prompting, Rewrite-Retrieve-Read, routing using LLM, text-to-SQL, fine-tuning for embedding, re-ranking, classification, MMR, and clustering. Evaluation of these methods is crucial as application performance can vary widely on the RAG setup.