Webinar
From Chaos to Context: Building Knowledge Graphs with AI Agents and Vector Search
Knowledge graphs often get messy, filled with ambiguous, low-quality data. Sound familiar? In this Community Call, Carl Kugblenu shows you a smarter way. Carl, a Senior Software Engineer at WithSecure and PhD Researcher at Aalto University, demonstrates his agentic approach to building clean, reliable knowledge graphs.
He'll show you how to integrate Memgraph with a custom agent resolution pipeline. You'll see LLMs and vector search in action, working together for robust entity resolution. Carl covers the real-world challenges, the vital need for context-aware disambiguation, and why human oversight is still key.
What You’ll Learn
He'll show you how to integrate Memgraph with a custom agent resolution pipeline. You'll see LLMs and vector search in action, working together for robust entity resolution. Carl covers the real-world challenges, the vital need for context-aware disambiguation, and why human oversight is still key.
What You’ll Learn
- How to fight entity ambiguity and create canonical knowledge graphs.
- The power of combining vector search and LLMs for intelligent context.
- Demo of an auditable, modular, and context-aware system for entity resolution.
- Why sequential processing, not just batching, builds a better agentic feedback loop.
