django-paradedb 0.12.0

Official ParadeDB integration for Django

Search without a second system.
One Postgres for your application data, full-text search, vector retrieval, and aggregations.

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ParadeDB for Django

The official Django integration for ParadeDB (powered by the pg_search Postgres extension), including first-class support for managing ParadeDB indexes and running queries using the full ParadeDB API. The integration covers both full-text (BM25) and vector search — vector search indexes pgvector vector columns directly in the ParadeDB index. Follow the getting started guide to begin.

django-paradedb also ships native vector search over pgvector vector columns — declare a VectorField, add it to your ParadeDBIndex with a distance metric, and query with L2Distance/CosineDistance/InnerProduct. See the vector search documentation.

Requirements & Compatibility

Component	Supported
Python	3.10+
Django	4.2+
ParadeDB	0.25.0+
PostgreSQL	15+ (with ParadeDB extension)
pgvector	Required for vector search (included in the ParadeDB Docker image)

Examples

• Quickstart
• Vector Search
• Faceted Search
• Autocomplete
• More Like This
• Hybrid Search (RRF)
• RAG

Contributing

See CONTRIBUTING.md for development setup, running tests, linting, and the PR workflow.

Support

If you're missing a feature or have found a bug, please open a GitHub Issue.

To get community support, you can:

• Post a question in the ParadeDB Slack Community
• Ask for help on our GitHub Discussions

If you need commercial support, please contact the ParadeDB team.

Acknowledgments

We would like to thank the following members of the Django community for their valuable feedback and reviews during the development of this package:

• Timothy Allen - Principal Engineer at The Wharton School, PSF and DSF member
• Frank Wiles - President & Founder of REVSYS

License

ParadeDB for Django is licensed under the MIT License.