What Is Hybrid Search? Combining Keyword and Semantic Matching
Keyword search and semantic search each have blind spots the other covers — hybrid search runs both and combines the results for more reliable retrieval.
Two search methods, one result
Hybrid search runs both traditional keyword matching and semantic search against the same query, then combines the two sets of results into a single ranked list — aiming to capture both exact-match precision and meaning-based recall in one system.
Why neither method alone is enough
Keyword search misses results that use different wording for the same idea; semantic search can sometimes surface results that are conceptually related but miss an exact detail the user actually needed, like a specific code or name. Hybrid search hedges against both failure modes at once.
The challenge: combining two different scores
Keyword and semantic search produce scores on different scales, so combining them fairly into one ranking is a real design problem — most hybrid systems use some form of weighted blending or a dedicated reranking step to merge the two result sets into a single coherent order.
Frequently Asked Questions
What is hybrid search?
A search approach that combines traditional keyword matching with semantic (meaning-based) search, merging both result sets to capture exact-match precision and meaning-based recall in one system.
Why not just use semantic search by itself?
Semantic search can miss results that need an exact match, like a specific code or name. Combining it with keyword search hedges against that blind spot while keeping semantic search's ability to match on meaning.