title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned	license
RAG MedMind	👁	pink	blue	streamlit	1.33.0	medmind.py	false	mit

MedMind: AI-Powered Medical Chatbot

MedMind is an advanced Retrieval Augmented Generation (RAG) chatbot designed to provide reliable and informative responses to your medical inquiries.

Features

• Answers General Medical Questions: Utilizes a curated medical knowledge base and advanced language models to answer a wide range of health-related questions.
• Summarizes Research Articles: Retrieves and summarizes relevant research articles from PubMed, making complex scientific information more accessible.
• Offers Additional Insights: Provides context and insights from its knowledge base to enhance understanding.
• Safe Web Searches: Performs safe web searches using the Google Search API, ensuring the safety and relevance of the results.
• Hallucination Evaluation: Employs a model to minimize the risk of generating fabricated information.

Technology Stack

• Streamlit: For building the user interface.
• LlamaIndex: For indexing and querying data.
• Vectara: As a vector database for storing and retrieving medical knowledge.
• TogetherLLM: Large language model for generating responses and summaries.
• LangChain: For building question-answering chains.
• Chroma: For indexing and querying uploaded documents.
• Hugging Face Transformers: For embeddings and hallucination evaluation.
• PubMed API: For searching and retrieving research articles.
• Google Search API: For performing safe web searches.

Limitations

• Not a substitute for professional medical advice.
• Information is for general knowledge and educational purposes only.
• Under development and may occasionally provide inaccurate or incomplete information.
• Potential for hallucinations, especially for complex queries.

Installation and Running

1. Clone the repository: git clone https://github.com/your-username/MedMind.git
2. Install dependencies: pip install -r requirements.txt
3. Set up environment variables: Refer to the .env.example file and create a .env file with your API keys.
4. Run the Streamlit app: streamlit run medmind.py

Contributing

Contributions are welcome! Please refer to the contributing guidelines.

License

This project is licensed under the MIT License.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference