MindWorkAI/AI-Studio
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Added embedding API (#654)
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Co-authored-by: Thorsten Sommer <SommerEngineering@users.noreply.github.com>
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Paul KoudelkaandThorsten Sommer authored and GitHub committed 2026-02-20 15:32:54 +01:00
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app/MindWork AI Studio/wwwroot/changelog/v26.2.2.md
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# v26.2.2, build 234 (2026-02-xx xx:xx UTC)
- Added a vector database (Qdrant) as a building block for our local RAG (retrieval-augmented generation) solution. Thank you very much, Paul (`PaulKoudelka`), for this major contribution. Note that our local RAG implementation remained in preview and has not yet been released; other building blocks are not yet ready.
- Added an option in the embedding providers table to test the embedding process.
- Added an app setting to enable administration options for IT staff to configure and maintain organization-wide settings.
- Added an option to export all provider types (LLMs, embeddings, transcriptions) so you can use them in a configuration plugin. You'll be asked if you want to export the related API key too. API keys will be encrypted in the export. This feature only shows up when administration options are enabled.
- Added an option in the app settings to create an encryption secret, which is required to encrypt values (for example, API keys) in configuration plugins. This feature only shows up when administration options are enabled.