#13 · Primary category： Vector Databases
paradedb
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
Project last updated：08/29/26
GitHub Stars
9.2K
Forks
444
Contributors
132
License
AGPL-3.0
Why we included this project
ParadeDB adds the pg_search extension to PostgreSQL, giving you BM25 full-text ranking, vector similarity through pgvector, and aggregations inside the database you already run. The real draw for teams already on Postgres is that it removes the separate search engine: your data and the index live in one place, so there is no second system to deploy and no pipeline to keep in sync. The project is built on Rust components such as Tantivy and DataFusion, and it ships Django, Rails, and SQLAlchemy integrations, which makes it a comfortable fit for a conventional application stack. If you are building semantic or hybrid keyword-plus-vector search on your own schema, this cuts a whole class of operational overhead without forcing you to adopt new infrastructure.
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