ParadeDB published results showing its Postgres-based search extension now runs COUNT queries roughly twice as fast as TantivyIndex (TIN) on a Wikipedia dataset benchmark, reaching 5,353 queries per second versus 2,645.8 QPS. The company says the gains come from optimizations such as segment partitioning that reduce costly visibility-map and CTID page accesses, which previously consumed over 80% of page reads during COUNT operations.
paradedb.com
· 2026-10-28
Infino describes how it built a retrieval engine whose full-text, vector and SQL search index lives on S3, GCS or Azure Blob Storage rather than local disk. The company organizes data into Parquet-based 'superfiles' grouped into 'supertables,' each with a manifest and term index, to reduce the number of random reads needed when querying object storage.
infino.ai
· 2026-10-15
ParadeDB published benchmark results showing it improved BM25-ranked text search throughput from 33 QPS to 81.9 QPS using the same StackExchange dataset and benchmarking harness PlanetScale used in its TIN launch post two weeks earlier. The company says the gains came from several optimization passes unrelated to document identifier handling, countering PlanetScale's claim that its speed advantage stemmed from using Postgres' internal ctid fields.
paradedb.com
· 2026-10-01
A team including Eric Ridge and Patrick Reynolds has released TIN, a full-text search extension for Postgres, now generally available for Postgres and Neki databases. It adds a single index type and query operator supporting boolean, phrase, span, fuzzy, wildcard, and regex matching, plus BM25-ranked and count queries.
planetscale.com
· 2026-09-19
A new open-source project called OKF Agent Memory gives AI coding agents a standardized way to retain project knowledge across sessions, storing it as plain Markdown files with YAML frontmatter directly inside a repository's knowledge/ folder. Built on the Open Knowledge Format v0.2, it combines a spec, behavioral conventions, an agent skill layer, and a Go-based CLI/library for parsing, validation and search.
github.com
· 2026-09-05
A May 2026 blog post collects examples of people who spent decades iterating on a single idea before reaching their defining work. It traces Stephen Robertson's path from a 1976 probabilistic relevance paper with Karen Sparck Jones to the 1994 BM25 formula still used in search today, and cites Hokusai's decades of studying nature before painting The Great Wave off Kanagawa at 73.
nityasnotes.com
· 2026-09-03