HNSW
AssessTechniques
A graph-based approximate nearest-neighbor indexing method for fast vector search.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6InfoQ·7/15/2026researchUsing PostgreSQL as the Foundation for Enterprise AI Agents
Gwen Shapira describes how teams are using PostgreSQL to support production AI features in mission-critical applications. The presentation highlights multi-modal patterns such as JSONB parsing, HNSW vector indexing, vector quantization, and agent memory management to provide both deterministic and semantic context to LLMs.