AIAnytime/Medical-RAG-using-Meditron-7B-LLM
Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.
This application helps medical professionals quickly find answers to their clinical questions by searching through a vast collection of medical articles. You provide your question, and the system delivers relevant answers and supporting information from medical literature. It's designed for doctors, researchers, and other healthcare practitioners who need accurate, evidence-based information at their fingertips.
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Use this if you are a medical professional who needs to rapidly query and extract specific, evidence-based answers from medical research papers.
Not ideal if you need to engage in free-form conversation or generate creative text, as it's focused on factual retrieval from existing medical documents.
Stars
61
Forks
26
Language
HTML
License
MIT
Category
Last pushed
Dec 03, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/AIAnytime/Medical-RAG-using-Meditron-7B-LLM"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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