Faster vector search with less memory.
Guides vector index tuning to improve search speed, recall, and memory efficiency.
When to use it
Use when tuning HNSW, implementing quantization, reducing memory use or search latency, balancing recall and speed, or scaling vector search.
It changes how the agent tunes vector indexes by emphasizing real-query benchmarks, recall monitoring, defaults, and memory-saving quantization.
What you provide
No setup requirements listed.
No additional actions listed.