Topic · 16 stories
16 stories tagged vector-search on AI Tamer, newest first.
A Berkeley-led vector index keeps a pruned graph, not the vectors, so a local RAG index can be a few percent of the data's size. Costs and how to try it.
Tiger Data's 13 October post introduces pg_vectorsearch, an alpha Postgres extension with a PRISM index. The post says pgvectorscale moves to maintenance.
HyDE embeds a passage a language model writes in answer to the query, then searches with it. How to build it, and where it stops helping.
Cut Matryoshka-trained embedding vectors to fewer dimensions, renormalize them, and measure the retrieval loss on your own queries before you commit.
Weaviate 1.40.0 marks namespaces generally available. A merged pull request says namespaced endpoints return 403 without a license. The notes do not name a plan.
ParadeDB tagged v0.26.0 on 3 October 2026. The notes include vector pushdown for RRF queries and ORDER BY that can push a vector distance plus a tie-break column. The pull requests merged in July.
Chunk size, overlap and boundaries decide what a retriever can return. This post covers defaults documented by Azure AI Search and OpenAI, plus a way to test a setting on your own questions.
SQLite puts application data, full-text search and, with an extension, vector search in a local database file. Here is where that fits and when PostgreSQL fits better.
turbopuffer made native embedding generally available (Sep 29, 2026): embed on write, on query, or keep BYOE. Systems overlap with index metadata fetch; Linear/Readwise beta color is vendor-stated.
MySQL and MariaDB now document native vector features, PostgreSQL can use pgvector, and SQLite can add search through extensions. Here is how to choose by deployment shape and retrieval needs.
Same-day Sep 30, 2026: Voyage ships rerank-3 and rerank-3-lite (“available today”, with no GA claim). MongoDB Atlas Native Reranking via $rerank is Preview only (docs). The Voyage and MongoDB lift claims are theirs. Separate from Atlas Agent Engine, and neither is a Vector Search substitute.
Qdrant’s Constella research preview (Sep 29, 2026): index docs once with Stella (400M English), then query with Zero, Nano, or Stella against the same collection—no re-embedding. Research preview, not GA. Encode-speed and nDCG figures are vendor-reported.
DiskANN approximate vector indexes are GA in Azure SQL Database, Azure SQL Managed Instance (Always-up-to-date), and Fabric SQL (Hoffman Sep 29; Thota Sep 28). Vectors sit next to operational rows under the same T-SQL/security model—no separate vector store. SQL Server 2025 / MI on SQL Server 2025 policy stay preview.
Databricks GA’d Lakebase Search on AWS/Azure (blog 2026-09-28): lakebase_vector (ANN) + lakebase_text (BM25) in the same serverless Postgres OLTP—hybrid via RRF, no separate search cluster. VectorDBBench/Conexiom figures are vendor-reported.
AWS S3 Vectors (Sep 30, 2026) adds ENHANCED index mode that filters metadata before similarity search, plus $startsWith. AWS claims up to 5× more matching vectors on highly selective filters—vendor figure, not house-verified. No extra cost; CLASSIC until you upgrade.
A practical guide to using Redis for response caches, request limits, agent queues, session memory and vector retrieval, with the correctness and licensing trade-offs to check first.
