Course Materials to Queryable Knowledge Base
A course knowledge base turns files, assignments, and notes into searchable objects with source context.
Site connection
Lykke ingests Canvas materials and turns them into AI-generated wikis, flashcards, quizzes, and study workflows.
Visual model
Queryable course context
The same retrieval mechanics can power chat, flashcards, wikis, quizzes, and weekly plans.
Interactive
Hybrid retrieval turns a vague study question into ranked evidence
From File Pile to Knowledge Layer
A course usually stores knowledge in inconvenient places: PDFs, Canvas pages, assignments, announcements, slides, and calendar events.
The knowledge base normalizes those pieces into records that can be retrieved, cited, and regenerated into study artifacts.
Metadata Is Not Optional
Course, week, unit, due date, source file, and content type all help retrieval. Without metadata, the system cannot tell whether a chunk is a policy, a definition, or an assignment deadline.
Common Pitfalls
- Treating all course files as one undifferentiated text blob.
- Losing source filenames during ingestion.
- Failing to re-index when Canvas content changes.
Quick check
Quiz
Why keep metadata with chunks?
- To improve retrieval and source context
- To make JSON longer
- To avoid embeddings
- To prevent search
Metadata helps filter, rank, cite, and update retrieved material.