SJ9VRF/Multi-Agent-RAG
Multi-agent RAG system using AutoGen for document-focused tasks in medical education, leveraging LangChain, ChromaDB, and OpenAI embeddings.
This system helps medical educators and students get precise answers from large amounts of medical text. You input a question and relevant medical documents, and it uses multiple specialized 'agents' to find, analyze, and synthesize the information. The output is a well-researched answer tailored to medical education.
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Use this if you need to quickly and accurately extract specific information or generate explanations from extensive medical documents, such as textbooks, research papers, or clinical guidelines.
Not ideal if your primary need is general knowledge retrieval or tasks outside of document-focused question answering in specialized domains.
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Language
Python
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Last pushed
Sep 09, 2024
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