Building a Semantic Layer with MCP and LangChain for Agentic AI
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THURSDAY DECEMBER 11, 11AM ET
What It's About
As AI agents evolve, they need more than just data. They need Stardog. Stardog’s Semantic AI Platform delivers a flexible semantic layer that unifies your enterprise data into a connected network of knowledge. Agents gain the same business-level understanding as subject matter experts, and your organization gets full traceability and explainability so you can trust their actions and outputs.
Join this technical webinar for a deep dive into creating the infrastructure for next-generation AI systems. Mike Grove, Co-Founder & SVP of Engineering, will explain what a semantic layer is, why it matters for agentic AI, and how Stardog’s Semantic AI Platform brings it to life using MCP and LangChain.
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What You'll Learn
Get tangible benefits for your data architecture, including improved token efficiency, grounded and accurate responses, and the traceable truth necessary for enterprise-grade AI applications. This webinar provides a hands-on look at how to connect your agents to the semantic layer that powers your enterprise data, giving you a lens through which your business can gain clearer, more transparent insights and make AI truly intelligent.
In this session, you will learn how to:
- Demystify the Semantic Layer: Get a clear, practical understanding of what a semantic layer really is. Learn how ontologies and knowledge graphs form the foundation for AI systems that understand meaning and context, not just data.
- Build Smarter, Faster: Learn how Stardog’s Semantic AI Platform, powered by MCP and LangChain, makes it easy to stand up connected semantic layers in minutes. With unified, contextual data, your agents can reason more deeply, respond accurately, and act with confidence.
- See It In Action: Watch a live, end-to-end demo showing how to go from zero to knowledge graph in minutes and how that structure drives trusted agent behavior.