Select Page
Live WEBINAR

GraphRAG That Doesn’t Lie: Building Agents You Can Trust

March 11, 2026
}

San Francisco | 7:00 a.m. – 8:00 a.m. PST
New York | 10:00 a.m. – 11:00 a.m. EST
Vienna | 4:00 p.m. – 5:00 p.m. CET

Fill out the form to register for this webinar

There’s a gap between what your GraphRAG agent says and what you can trust to be true.

It retrieves relevant documents. It generates confident answers. But it can’t verify conflicting sources, validate claims across your knowledge base, or trace its reasoning back to verified facts.

For organizations relying on AI for critical decisions, whether in legal research, compliance, strategic planning, or customer operations, this trust gap isn’t just frustrating. It’s dangerous.

Join Andrey Tagarev, AI & Knowledge Engineer at Graphwise, on March 11 for a hands-on demonstration of how to close this gap. Using a real-world use case built on journalistic fact-checking and disinformation debunking, Andrey will show you an agent that navigates RAG, taxonomies, ontologies, and SPARQL queries simultaneously, moving between unstructured content and structured knowledge to deliver answers it can prove.

You’ll learn:

Why retrieval-augmented generation alone isn’t enough, and how structured knowledge improves understanding
The architecture for combining documents with semantic knowledge graphs
A live build: creating a GraphRAG agent grounded in verified sources
How to construct evaluation datasets that test trust, not just accuracy
Fast, confident answers aren’t valuable if they’re wrong. This session shows you how to build GraphRAG systems that stakeholders can actually rely on.

March 11, 10:00am EST / 4:00pm CET

Register for the webinar

Speaker

  • AI & Knowledge Engineer at Graphwise

    Andrey specializes in machine learning, ontologies, and knowledge graphs. He currently focuses on designing and testing high-fidelity AI agents, with particular emphasis on building robust evaluation frameworks that ensure agent reliability, quality, and scalability.

« All Events