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Feature Request: Add support for using InterSystems IRIS as a vector database #20607

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opened 2026-02-21 20:08:08 -05:00 by yindo · 0 comments
yindo commented 2026-02-21 20:08:08 -05:00
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Originally created by @TomoOkuyama on GitHub (Nov 27, 2025).

Originally assigned to: @fatelei on GitHub.

Self Checks

  • I have read the Contributing Guide and Language Policy.
  • I have searched for existing issues search for existing issues, including closed ones.
  • I confirm that I am using English to submit this report, otherwise it will be closed.
  • Please do not modify this template :) and fill in all the required fields.

1. Is this request related to a challenge you're experiencing? Tell me about your story.

Many hospitals and healthcare organizations use InterSystems IRIS as their primary operational and analytics database. I expect that first-class support for IRIS in Dify would significantly accelerate AI development and real-world deployment of Dify-based solutions in healthcare settings.
By allowing Dify to connect to IRIS as a vector database, healthcare teams can reuse their existing data platform, avoid data duplication into other vector stores, and build AI applications closer to clinical data while staying within their current compliance and governance boundaries.

2. Additional context or comments

I have already implemented this feature and completed most of the verification in our environment (including connection, vector search operations, and basic performance checks). Based on the current status, I expect that I can open a pull request for review in a short time once we agree on the direction and scope.

3. Can you help us with this feature?

  • I am interested in contributing to this feature.
Originally created by @TomoOkuyama on GitHub (Nov 27, 2025). Originally assigned to: @fatelei on GitHub. ### Self Checks - [x] I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542). - [x] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [x] I confirm that I am using English to submit this report, otherwise it will be closed. - [x] Please do not modify this template :) and fill in all the required fields. ### 1. Is this request related to a challenge you're experiencing? Tell me about your story. Many hospitals and healthcare organizations use InterSystems IRIS as their primary operational and analytics database. I expect that first-class support for IRIS in Dify would significantly accelerate AI development and real-world deployment of Dify-based solutions in healthcare settings. By allowing Dify to connect to IRIS as a vector database, healthcare teams can reuse their existing data platform, avoid data duplication into other vector stores, and build AI applications closer to clinical data while staying within their current compliance and governance boundaries. ### 2. Additional context or comments I have already implemented this feature and completed most of the verification in our environment (including connection, vector search operations, and basic performance checks). Based on the current status, I expect that I can open a pull request for review in a short time once we agree on the direction and scope. ### 3. Can you help us with this feature? - [x] I am interested in contributing to this feature.
yindo added the 👻 feat:rag label 2026-02-21 20:08:08 -05:00
yindo closed this issue 2026-02-21 20:08:08 -05:00
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Reference: langgenius/dify#20607
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