SurrealDB Bridges Semantic and Exact-Match Search in Single Query

Vector embeddings excel at semantic understanding but fail at exact naming—a critical gap for code retrieval where developers search by function name. SurrealDB solves this by running vector and keyword search in parallel within the database, merging results via Reciprocal Rank Fusion. This unified approach eliminates application-layer complexity while enabling precise code search without sacrificing semantic awareness.