Cover Image for Webinar: Knowledge graph and RAG agent walkthrough
Cover Image for Webinar: Knowledge graph and RAG agent walkthrough
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SurrealDB Events
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Webinar: Knowledge graph and RAG agent walkthrough

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​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.

Avatar for SurrealDB Events
Presented by
SurrealDB Events
35 Went