2003harsh/document-qna-using-llama3-and-groq

Document QnA is a webapp that lets users upload multiple documents and ask questions about their content. It uses Llama3, Groq API, LangChain, FAISS, and Google Palm Embeddings to identify relevant documents and provide answers with page numbers. The Streamlit interface ensures easy and efficient use.

Hi 👋, I'm Harsh Gupta

Aspiring Data Scientist

• 🔭 I’m currently working on tinyGPT https://github.com/2003HARSH/tinyGPT

• 🌱 I’m currently learning Retrieval Augmented Generation (RAG)

• 🤝 I’m looking for help with tinyGPT https://github.com/2003HARSH/tinyGPT

• 👨‍💻 All of my projects are available at https://2003harsh.github.io/

• 💬 Ask me about Machine Learning , Deep Learning ,Natural Language Processing (NLP), Large Language Models (LLMs) & Retrieval Augmented Generation (RAG) and Fine-Tuning

• 📫 How to reach me [email protected]

• 📄 Know about my experiences https://2003harsh.github.io/

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