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, , , , and the documentation are all open source. They are available in GitHub for you to use, review, and update. This page shows you where you can add to products.

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Contribute to the code for products

appreciates any help the community can provide to make its products better! You can:
  • Open an issue with a bug report, build issue, feature request or suggestion.
  • Fork a corresponding repository and submit a pull request.
Head over to the source repositories to learn, review, and help improve our products!
  • : a extension for high-performance real-time analytics on time-series and event data.
  • : a suite of tools to develop RAG, semantic search, and other AI applications more easily with .
  • : a complement to pgvector for higher performance embedding search and cost-efficient storage for AI applications.
  • : all things analytics when using , with a particular focus on developer ergonomics and performance.

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Contribute to documentation

documentation is hosted in the docs GitHub repository and open for contribution from all community members. See the README and contribution guide for details.