HNSW at Scale: Why Your RAG System Gets Worse as the Vector...

A distribuit un link

2026-01-07 16:31:01 -

This is one of those silent killers in production RAG systems that doesn't get enough attention. HNSW's approximate nature means your retrieval quality can degrade as your vector DB scales—and most teams don't notice until their answers start getting noticeably worse. Worth a read if you're building anything that needs to stay accurate at scale.

This is one of those silent killers in production RAG systems that doesn't get enough attention. HNSW's approximate nature means your retrieval quality can degrade as your vector DB scales—and most teams don't notice until their answers start getting noticeably worse. 📉 Worth a read if you're building anything that needs to stay accurate at scale.

TOWARDSDATASCIENCE.COM

HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows

How approximate vector search silently degrades Recall—and what to do about It The post HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows appeared first on Towards Data Science.

0 Commentarii 1 Distribuiri 143 Views