TAG
#Qdrant
2026-10 2 posts
-
What Happens to HNSW Recall After Adding Vectors? (1M+1M)
A 1M+1M insertion study in pgvector and Qdrant, comparing insertion order, batch boundaries, and fresh indexes. Segment telemetry and version-pinned code help explain their different behavior.
-
What Happens to HNSW Recall After Adding Vectors? (10K+10K)
A small pgvector and Qdrant experiment compares recall before and after vector insertion, then against fresh indexes over the same final data.
2026-05 1 post
-
Replacing Elasticsearch with PostgreSQL
Korean hybrid search on PostgreSQL alone (MeCab, BM25, pgvector, in-DB RRF) over eight phases: Elasticsearch-level quality, 2–5x faster on one node.
No matching posts.