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Hybrid Search: Vector + Full-Text Search

Blog post from SingleStore

Post Details
Company
Date Published
Author
Eric Hanson, Rohit Bhamidipati, Cheng Chen
Word Count
526
Company Posts That Month
15
Language
English
Hacker News Points
-
Post removed?
No
Summary

SingleStore has released support for indexed approximate-nearest-neighbor (ANN) vector search, allowing users to combine full-text search and SQL capabilities in a single query. By joining results from both searches with a full outer join, users can produce a final result that combines the scores of both searches, re-ranking them accordingly. This enables powerful hybrid search that leverages the strengths of both full-text search and semantic vector search. The company has created a dataset to simulate vector-based semantic search over Wikipedia articles, demonstrating the capabilities of SingleStore's hybrid search feature.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 7 2,192 239 92 +27%
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