tensorchord/vechord

Turn PostgreSQL into your search engine in a Pythonic way.

47
/ 100
Emerging

This tool helps software developers quickly build powerful search capabilities on top of their existing PostgreSQL databases. It takes raw text, documents (like PDFs or HTML), or entities, processes them into a search-ready format, and enables complex searches including keyword, vector, and hybrid methods. The output is a highly customizable search engine that can even be exposed as a web service. It's designed for developers working on applications requiring sophisticated data retrieval.

No commits in the last 6 months. Available on PyPI.

Use this if you are a developer looking to integrate advanced search features, such as semantic search or contextual retrieval, directly into your PostgreSQL-backed application without managing a separate vector database.

Not ideal if you are a non-technical user seeking a ready-to-use search product or if your application does not use PostgreSQL as its primary data store.

information-retrieval application-development database-management search-engine-building data-processing
Stale 6m
Maintenance 2 / 25
Adoption 8 / 25
Maturity 25 / 25
Community 12 / 25

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Stars

51

Forks

6

Language

Python

License

Apache-2.0

Last pushed

Aug 29, 2025

Commits (30d)

0

Dependencies

13

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