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Our project enhances Trulens analytics through two key initiatives: developing an interactive visual node for integration in Jupyter notebooks, and creating a comprehensive RAG framework for Trulens documentation. These efforts aim to simplify and enrich the user experience with Trulens, making advanced data analysis more accessible and intuitive.

Home Page: https://chat.qlaus.app/embedded/public/87c92de2-cc30-4702-801f-07a8b4b3d97e

License: MIT License

Python 34.61% JavaScript 53.55% TypeScript 11.83%
gemini multimodal trulens visualblocks

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