all work
case study · 01
NNRG AI Campus Assistant
A campus chatbot that answers from institutional knowledge, with sources.
- role
- Solo
- kind
- rag, campus chatbot
- stack
- Python
- LangChain
- ChromaDB
- RAG
- FastAPI
problem
Answer questions from institutional knowledge, with responses grounded in their sources.
approach
A RAG pipeline: LangChain and ChromaDB retrieve institutional knowledge, distance-aware confidence scoring filters out low-relevance retrievals, and a FastAPI backend generates source-grounded responses.
what I built
- Built a RAG-based campus chatbot that retrieves institutional knowledge with LangChain and ChromaDB and generates source-grounded responses through a FastAPI backend.
- Implemented distance-aware confidence scoring to filter out low-relevance retrievals and improve answer reliability.
impact
More reliable answers: low-relevance retrievals are filtered out, and responses stay grounded in their sources.