Welcome to my portfolio of LLM-powered applications! This repository contains a collection of projects I've built to explore and demonstrate my skills in AI and software development.
- Description: A Retrieval-Augmented Generation (RAG) application built with Streamlit that answers questions about pharmaceutical sciences. Users can upload their own research documents (PDFs) to create a dynamic, private knowledge base.
- Technologies Used: Python, Streamlit, LangChain, Google Gemini, ChromaDB (Vector DB).
- To Run This Project:
- Navigate to the project directory:
PharmaQuery - Create and activate a virtual environment.
- Install dependencies:
pip install -r requirements.txt - Run the Streamlit app:
python3 -m streamlit run app.py
- Navigate to the project directory:
- LinkedIn: Dev Mehta