Built a local RAG assistant using Streamlit, Chroma, and retrieval-augmented generation to search course notes and return evidence-based answers.
Overview
The key project of my AI Advanced Diploma at Centennial College: a local AI research assistant that searches course notes and returns evidence-based answers.
How it is built
- Streamlit for the interface.
- A Chroma vector database for the course notes.
- Retrieval-augmented generation, so answers are grounded in the notes themselves.
- Runs locally.
Why retrieval matters
Answering from retrieved passages keeps every answer tied to the source material, which is what makes the answers evidence-based.