- Updated: March 31, 2026
- 2 min read
Introducing pg_textsearch: Full‑Text Search Made Simple for PostgreSQL
Introducing pg_textsearch: Full‑Text Search Made Simple for PostgreSQL
The open‑source community now has a powerful new extension – pg_textsearch – that brings fast, flexible full‑text search capabilities directly into PostgreSQL. Developed by Timescale, this extension simplifies the creation of searchable indexes, supports multilingual dictionaries, and integrates seamlessly with existing PostgreSQL workflows.
Key features of pg_textsearch include:
- Easy installation via
CREATE EXTENSION pg_textsearch; - Support for custom text search configurations and stop‑word lists.
- Efficient GIN and GiST indexing for rapid query performance.
- Compatibility with PostgreSQL 12 and later.
By leveraging PostgreSQL’s native tsvector and tsquery types, pg_textsearch enables developers to build sophisticated search experiences without adding external services. This reduces operational overhead and keeps data within a single, ACID‑compliant system.
For developers looking to get started quickly, the extension includes ready‑to‑use examples and detailed documentation. You can find step‑by‑step guides on our internal knowledge base:
Integrating pg_textsearch can dramatically improve the relevance and speed of search features in e‑commerce platforms, content management systems, and any application that relies on textual data.
Stay tuned for upcoming webinars where our team will demonstrate real‑world use cases and answer your questions.
Author: UBOS Tech Team
Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.