GitHub / muhammadadilnaeem / Medical-Chatbot-Assistant-Using-Llama2-and-HuggingFace-Embeddings-and-Pinecone-Vector-db
Welcome to the Medical Chatbot Assistant project! This repository contains a powerful and efficient medical chatbot built using the LLaMA 2 model, Hugging Face embeddings, and Pinecone vector database. The chatbot is designed to assist users with medical inquiries, providing reliable and accurate responses.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/muhammadadilnaeem%2FMedical-Chatbot-Assistant-Using-Llama2-and-HuggingFace-Embeddings-and-Pinecone-Vector-db
PURL: pkg:github/muhammadadilnaeem/Medical-Chatbot-Assistant-Using-Llama2-and-HuggingFace-Embeddings-and-Pinecone-Vector-db
Stars: 1
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 10.4 MB
Dependencies parsed at: Pending
Created at: 10 months ago
Updated at: 9 months ago
Pushed at: 9 months ago
Last synced at: 3 months ago
Commit Stats
Commits: 24
Authors: 2
Mean commits per author: 12.0
Development Distribution Score: 0.25
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/muhammadadilnaeem/Medical-Chatbot-Assistant-Using-Llama2-and-HuggingFace-Embeddings-and-Pinecone-Vector-db
Topics: huggingface, huggingface-models, langchain, llama2, pineconedb, python