Hybrid search inside SurrealDB: one query, vector + keyword + RRF

📰 Dev.to AI

Learn to implement hybrid search using vector, keyword, and RRF to improve search accuracy in SurrealDB

advanced Published 29 Apr 2026
Action Steps
  1. Build a hybrid search query using SurrealDB's search::rrf() function
  2. Run vector search and keyword search in parallel using SurrealDB's API
  3. Fuse the results using Reciprocal Rank Fusion (RRF) to improve accuracy
  4. Test and evaluate the hybrid search query using sample data
  5. Apply the hybrid search approach to a real-world application to improve search results
Who Needs to Know This

Developers and data engineers working with SurrealDB can benefit from this hybrid search approach to improve their application's search functionality

Key Insight

💡 Hybrid search using vector, keyword, and RRF can improve search accuracy by combining the strengths of each approach

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🚀 Improve search accuracy with hybrid search: vector + keyword + RRF in SurrealDB! 🚀
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