https://github.com/malleswarigelli/end-to-end-medical-chatbot-generative-ai
GenAI: Build and deploy end to end medical chatbot
https://github.com/malleswarigelli/end-to-end-medical-chatbot-generative-ai
aws-ec2 aws-ecr cicd genai genai-chatbot github-actions langchain llmops pinecone-db
Last synced: 3 months ago
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GenAI: Build and deploy end to end medical chatbot
- Host: GitHub
- URL: https://github.com/malleswarigelli/end-to-end-medical-chatbot-generative-ai
- Owner: malleswarigelli
- License: mit
- Created: 2025-01-03T18:01:58.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-01-05T00:16:40.000Z (11 months ago)
- Last Synced: 2025-03-29T00:12:52.986Z (8 months ago)
- Topics: aws-ec2, aws-ecr, cicd, genai, genai-chatbot, github-actions, langchain, llmops, pinecone-db
- Language: Python
- Homepage:
- Size: 10.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# End-to-end-Medical-Chatbot-Generative-AI
This project aims to build a conversational AI for the healthcare domain, utilizing Large Language Models (LLMs) integrated with Pinecone and LangChain. The chatbot will provide accurate responses to health-related queries, assist in medical guidance, and retrieve relevant medical data using Pinecone's vector database for efficient and scalable search. The project involves setting up a retrieval-augmented generation (RAG) pipeline, configuring conversational flows, ensuring compliance with health information privacy standards, and validating outputs for medical accuracy. This project is ideal for creating intelligent virtual assistants for patient support, telemedicine, or healthcare research.
## How to run?
```bash
conda create -n medibot python=3.10 -y
```
```bash
conda activate medibot
```
```bash
pip install -r requirements.txt
```
```bash
python app.py
```