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.

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Emerging

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.

medical-information health-education patient-inquiry medical-reference healthcare-support
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

9

Forks

4

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Jul 02, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/abhroroy365/Medical-Chatbot"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.