Category: RAG Optimization

Picture this: Your enterprise RAG system processes thousands of queries daily, but 40% of them are variations of the same questions. Users ask “What’s our Q3 revenue?” followed by “Show me Q3 earnings” and “Q3 financial results” – all seeking identical information. Your system dutifully re-processes each query, re-searches your vector database, and re-generates responses,…