Technical Deep Dive: Efficient and ACID Compliant Vector Search Indexes in Firebolt
Summary
Firebolt's technical deep dive explains native vector search indexing using HNSW within a tablet-based, ACID-compliant data warehouse. It covers per-tablet vector indexes, query execution with semi-join pruning, caching strategies, and tunable parameters for memory, granularity, and recall, plus production benchmarks and a cost view. It concludes with use cases for AI workloads and guidance for adopting vector search at scale.