Beyond Basic RAG: Boosting Accuracy with Hybrid Search and Fusion Algorithms.

Piti Champeethong

Retrieval-Augmented Generation (RAG) often produces incorrect results when relying solely on vector-based similarity. While vector search is strong, it fails on exact keywords, acronyms, and domain-specific terms. This talk shows how to build high-accuracy RAG pipelines with Hybrid Search and Re-ranking using LangChain, combining vector and full-text retrieval and applying cross-encoder scoring to deliver more relevant context and reduce hallucinations.