Firebolt Implements Native HNSW Vector Search

Firebolt describes native vector search indexing using HNSW and the USearch library to enable approximate nearest neighbor (ANN) queries over embeddings. The company says Similarweb reduced query latency by 100x, from tens of seconds to about 300 ms (99th percentile), enabling sub-second semantic search across hundreds of millions of vectors. Firebolt supports in-memory and disk-backed load strategies and exposes a SQL API for vector_search and index creation.
Scoring Rationale
Official, practical feature with measurable 100x latency gains; limited novelty beyond established ANN/HNSW techniques compared to prior solutions.
Practice interview problems based on real data
1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problemsStep-by-step roadmaps from zero to job-ready — curated courses, salary data, and the exact learning order that gets you hired.
Sources
- Read OriginalTechnical Deep Dive: Efficient and ACID Compliant Vector Search Indexes in Fireboltfirebolt.io



