Hybrid Search

Learn how to build a robust hybrid search pipeline in Postgres 17 using pgvector 0.8 and tsvector. Discover how Reciprocal Rank Fusion (RRF) fixes exact-match failures in RAG applications without needing a dedicated vector database.

Learn how to move beyond simple vector search by implementing hybrid retrieval, reciprocal rank fusion (RRF), and cross-encoder reranking for production-grade RAG systems.

While Retrieval-Augmented Generation (RAG) is the industry standard for reducing LLM hallucinations, its reliance on vector embeddings creates specific, predictable failure modes. This guide explores why semantic similarity fails on negation, exact identifiers, and acronyms, and how to build a more robust hybrid retrieval architecture.

Discover how to combine the reasoning power of AI agents with the precision of hybrid search to build a next-generation Agentic RAG system for enterprise applications.

A technical guide on implementing Contextual Retrieval, hybrid search, and automatic knowledge expansion to solve the context-blindness problem in RAG systems.