Live webinar: Knowledge graph and RAG agent walkthrough
15 attendees from 5 groups hosting
Hosted by SurrealDB New York
Details
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.
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.
