AI Study Assistant

An AI-powered assistant that answers engineering questions using RAG.

Features

• Knowledge-based answers
• Retrieval-Augmented Generation (RAG)
• Memory (thread_id)
• LLM (Groq)
• ChromaDB
• Streamlit UI
• Tool support

Architecture

User Query → Embedding → ChromaDB → Retrieval → LLM → Response

Tech Stack

• Python
• LangGraph
• ChromaDB
• Sentence Transformers
• Groq LLM
• Streamlit

Deployment

The application is deployed using Streamlit Cloud.

• Platform: Streamlit Cloud
• Secrets Management: Streamlit Secrets
• Environment: Python

To run locally:

1. Install dependencies: pip install -r requirements.txt

2. Add API key in .env: GROQ_API_KEY=your_key

3. Run: streamlit run capstone_streamlit.py