abhroroy365/Medical-Chatbot
A Retrieval-Augmented Generation (RAG) based Medical Chatbot. With the base model as Llama2 from Meta, the Retrieval system uses a medical document as corpus to generate context-rich output.
This project helps medical professionals, students, or patients quickly find answers to health-related questions. You input your question, and it provides a context-rich answer by referencing information from a medical encyclopedia. It's designed for anyone seeking fast, reliable information from medical texts without having to sift through large documents manually.
No commits in the last 6 months.
Use this if you need to rapidly retrieve specific medical information from a dedicated knowledge base using natural language queries.
Not ideal if you require real-time diagnostic advice, personalized treatment plans, or information beyond the scope of its specific medical document corpus.
Stars
9
Forks
4
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jul 02, 2024
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/rag/abhroroy365/Medical-Chatbot"
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