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Please note - to reserve a spot for this webinar you must register at: https://sdb.li/45PZ2y0

Webinar: Knowledge graph and RAG agent walkthrough

In this live webinar, Martin Schaer shows a simple knowledge graph example using SurrealDB and Pydantic AI. Expect code, and a clear approach to typed querying and observability without piling on abstraction.

In this session you'll learn:

  • Generating the knowledge graph from unstructured data
  • How to get a Pydantic AI agent retrieve data from a SurrealDB knowledge graph
  • Full-stack observability (agent tool usage, LLM calls, SurrealDB queries)

Speaker

Martin Schaer
Solutions Engineer, SurrealDB

Martin is a computer science engineer at SurrealDB. He previously worked in lab automation designing a declarative framework for instrument drivers and a 3D visualiser for testing robotic transport solutions. He’s also built products across web development, UX, branding, and digital marketing.

Who's this event for?
AI engineers building agents with knowledge graphs, or anyone who wants retrieval you can reason about (and debug) in production.

AI summary

By Meetup

Online webinar: KG and RAG agent walkthrough for AI engineers, learn to generate a KG from unstructured data and query it with a Pydantic AI agent.

Related topics

Artificial Intelligence
Artificial Intelligence Programming
Database Development
Graph Databases
Software Engineering

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