---
title: "Full-stack knowledge graph RAG with agentic memory | Webinar | SurrealDB"
url: https://surrealdb.com/events/full-stack-knowledge-graph-rag-with-agentic-memory
---

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Wednesday, May 20 at 6:00 PM GMT+1

Webinar

# Full-stack knowledge graph RAG with agentic memory

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## About this webinar

In the rapidly evolving field of AI, retrieval is only half the battle. The other half? Knowing how to move through your data - deterministically, intelligently, and at scale.

This is a follow-up to our popular *"How to Build a Knowledge Graph for AI"* blog post. This time, we go deeper: instead of building the graph, we focus on navigating it - using an LLM to generate queries that traverse a rich, structured knowledge graph and return grounded, deterministic answers.

We'll work with an e-commerce graph that combines relational data, embedded product descriptions, and customer reviews - showing exactly how an agentic system can reason across all of it.

Speakers

![Martin Schaer](https://cdn.surrealdb.com/k569ad7lxxtzxxkk5re1vpr5.auto)

Martin Schaer

AI Solutions Engineer at SurrealDB

## In this session you'll learn

How to structure a knowledge graph that blends relational data with vector embeddings and graph edges

How LLMs generate graph queries to navigate complex, multi-model data

How to produce deterministic, citation-backed answers from a knowledge graph

How agentic memory fits into a full RAG pipeline

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