Query Expansion: The RAG Technique Everyone's Missing

Enhance Your RAG Systems with Query Expansion Techniques In this episode, we explore building a help page system for a laptop manufacturer using Retrieval-Augmented Generation (RAG). We address the issue of lost context when comparing user queries to large data chunks by introducing query expansion techniques. Learn how to use a Language Learning Model (LLM) to create enhanced queries or multiple search queries to improve accuracy. Discover practical methods to increase the effectiveness of RAG systems, while understanding the trade-offs involved. 00:00 Introduction to Building a RAG System 00:19 Understanding Query and Chunk Embeddings 00:36 Challenges with Query Context 00:53 Introducing Query Expansion 01:18 Creating Fake Answers with LLM 01:51 Generating New Query Text 02:13 Alternative Query Expansion Methods 02:30 Combining Multiple Search Queries 03:32 Final Thoughts on Query Expansion 03:53 Conclusion and Personal Insights