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The "End-to-End Medical Chatbot" project builds an AI-powered conversational assistant for healthcare using LLMs, Pinecone, and LangChain. It provides accurate answers, retrieves medical data, and leverages a RAG pipeline for enhanced response generation. Designed for telemedicine and research, it ensures compliance with health data privacy standar

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Python-training-2025/End-to-End-Medical-chatbot-Generative-AI

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End-to-end-Medical-Chatbot-Generative-AI


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Comment l'exécuter ?

ÉTAPES :

Cloner le dépôt

Project repo: https://github.com/

ÉTAPE 01 - Créer un environnement conda après avoir ouvert le dépôt

conda create -n llmapp python=3.8 -y
conda activate llmapp

ÉTAPE 02 - Installer les dépendances

pip install -r requirements.txt

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The "End-to-End Medical Chatbot" project builds an AI-powered conversational assistant for healthcare using LLMs, Pinecone, and LangChain. It provides accurate answers, retrieves medical data, and leverages a RAG pipeline for enhanced response generation. Designed for telemedicine and research, it ensures compliance with health data privacy standar

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