ThomasAtlantis/DRAGON
A device-cloud distributed RAG framework that enables a simultaneous integration of personalized information and generic knowledge
This project helps create AI assistants that provide accurate answers by combining personalized information from your specific data with broader general knowledge. You input a question and your relevant documents, and it outputs a well-informed answer. Data scientists and machine learning engineers developing sophisticated AI applications would find this useful.
No commits in the last 6 months.
Use this if you need to build a robust Retrieval-Augmented Generation (RAG) system that can seamlessly blend domain-specific knowledge with common information for highly relevant text generation.
Not ideal if you are looking for a simple, off-the-shelf chatbot solution without needing to integrate custom data sources or optimize distributed processing.
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9
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1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 17, 2025
Commits (30d)
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