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Roadmap

Here you can find our product roadmap. We work realising new versions approximately every 3 months.

To check previous versions view Releases on Github Repository.
For every release is possibile to search on Github Wiki for release detailed changelog, migration guide and compatibility matrix.

End of life information are also provided.

v2.0.0

Oct 22, 2024

  • Migrating from Elasticsearch to Opensearch
  • Support for Vector and Hybrid search
  • Retrieval Augmented Generation integration

Check out release or migration guide on Github for more details.

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v3.0.0

Aug 9, 2025

  • New Admin UI
  • New frontend for RAG Generative AI integration
  • Migration from quarkus 2.x to Quarkus 3.x
  • Optimizations for vector data ingestion

Check out release or migration guide on Github for more details.

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v3.1.0

will be released approximately at the end of january 2026

It will be packed with new features as it will contain approximately 3 months of work.

  • Implementation of the Rag part via agent ai
  • Support to monitor and evalutate Rag pipeline
  • New enrich modules to extract, chunk e and embed data
  • Refactoring of autocomplete feature
  • API gateway development and API security with added API key authentication
  • Archetypes for creating connectors and enrichers
  • UX improvement on the admin ui
  • Improvements to search and Rag configuration

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v3.2.0

will be released approximately at the start of april 2026

It will be packed with new features as it will contain approximately 3 months of work. The list of evolutions may be revised after the release of the previous version.

  • Introducing Guardrails into the Rag pipeline
  • Query routing and understanding
  • User profile management for contextualized search
  • Analytics for collecting search and indexing metrics
  • Import/Export configurations from the Administration Console
  • Added the ability to index data in push modals from outside

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Questions?

If you have any questions about this plan, feel free to ask in the comments of this blog post or on GitHub Discussions.

Come Join Us

We value your feedback a lot so please report bugs, ask for improvements…​ Let’s build something great together! If you are a Openk9 user or just curious, don’t be shy and join our welcoming community:

  • provide feedback on GitHub.
  • ask your questions on Stack Overflow.