Knowledge Graphs & AI
Turn fragmented files, chunks, and code into a queryable, production-ready knowledge graph
Build a trustworthy knowledge graph from messy real-world sources. Follow the complete path from unstructured files and similarity search through graph extraction, provenance, entity resolution, querying, refreshes, and production delivery.
Course Snapshot
Instructor
Vivid Labs
Access
First lesson free · Join waitlist for full access
Catalog Slot
Knowledge Graphs & AI
Chapter List
See why a folder full of useful files still lacks usable structure, and identify the entities and relationships a knowledge graph must preserve.
Learn where isolated chunks and similarity scores lose direction, context, and the structural question of how one entity relates to another.
Walk through the seven-stage pipeline that turns raw sources into a usable graph while keeping each transformation explicit and testable.
Tags
Extract the relationships already present in a codebase and turn them into graph structure that supports dependable code intelligence.