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.