Query Transformation And Enhancement

via “query-transformation-and-enhancement”

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Unique: Provides implementations of HyDE and HyPE techniques that use LLMs to generate synthetic documents or passages from queries, improving retrieval without modifying the embedding model or document index — a novel approach compared to traditional query expansion

vs others: More effective than simple query expansion (synonyms, stemming) because it uses LLM understanding to generate contextually relevant synthetic documents, whereas traditional methods rely on lexical similarity