Answers grounded in course notes with citations, evaluated at 87% faithfulness.
Problem & context
Sample content. Course knowledge was spread across slides, notebooks and video transcripts.
What was built
A retrieval-augmented assistant that answers questions from course material and cites its sources.
Approach
Chunked transcripts and notes, embedded them into a vector store, and added an evaluation loop with Opik to track faithfulness and relevance.
Results & evaluation
Faithfulness 0.87, answer relevance 0.91 on a 120-question eval set.