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  1. 1

    Introducing TIN: full-text search for Postgres

    PlanetScale’s TIN is a new PostgreSQL extension that implements a full‑text search index supporting Boolean, phrase, span, fuzzy, wildcard, regex, case/accent folding, COUNT(*) and BM25 top‑k queries. In a suite of benchmarks on an i7i.8xlarge EC2 instance (8 vCPU, 32 GB RAM), TIN built in 8 min 10 s (50.7 GB index) and outperformed ParadeDB, pg_textsearch and the built‑in GIN index by large marg…

    PlanetScaleplanetscale.com15 minHN20175
  2. 2

    Self-Evolving Search Index

    The paper introduces SELF-INDEX, a framework that lets a search index automatically diagnose retrieval failures, revise its keys, and validate changes, using a query simulator to anticipate future queries. Experiments show consistent gains across corpora and downstream LLM agents.

    Hugging Face Daily Papersarxiv.org1 minpaper
  3. 4

    Knowing When Your Composite Index Earns Its Write Cost

    This guide explains how to evaluate the trade-off of adding a composite index in PostgreSQL by quantifying its read benefits and write costs. It provides a method to measure the impact on ingest throughput and decide if the index earns its overhead based on your system's peak ingest ceiling.

    Timescaletigerdata.com8 min