Build fast semantic search for your application.
Guides implementation of efficient vector similarity search with index selection, tuning, and hybrid retrieval patterns.
When to use it
Use when building semantic search, RAG retrieval, or recommendation engines, optimizing search latency, scaling vector collections, or combining semantic and keyword search.
It changes how the agent implements similarity search in a project, emphasizing suitable indexes, parameter tuning, hybrid search, and quality evaluation.
What you provide
No setup requirements listed.
No additional actions listed.