Building RAG Systems with Hybrid Search: Dense + Sparse Retrieval

Mar 16, 2026
7 min read
Building RAG Systems with Hybrid Search: Dense + Sparse Retrieval

Key Takeaways

  • Hybrid search improves RAG accuracy by 20-40% vs dense-only retrieval
  • Combine BM25 (keyword) with vector embeddings (semantic) for best results
  • Reciprocal Rank Fusion (RRF) is the simplest effective fusion algorithm
  • Qdrant natively supports hybrid vectors in one collection
  • Tune alpha parameter (0.6-0.8) based on domain (semantic vs keyword-heavy)

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