MAESTRO is an open source AI platform designed for academic research and data analysis, and its core architecture includes three key technologies: a document management system that supports PDF file uploads and structured storage to form a local knowledge base; retrieval-enhanced generation (RAG) technology that enables accurate information extraction and contextual response; and a unique multi-intelligence collaboration framework that includes four functionalities, namely, planning, researching, reflecting and writing. The system can automatically decompose research tasks and generate structured reports. The system adopts Python+Docker technology stack, provides a Streamlit-based interactive interface, and supports a complete research loop from literature management to report output.
This answer comes from the articleMAESTRO: In-depth research assistant with local knowledge base and multi-agent collaborationThe
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