---
title: "Build Scalable Memory for LLMs with Graphs and Vectors | Webinar | SurrealDB"
description: "Learn how to build persistent memory for LLMs using SurrealDB's graph and vector capabilities. Transform your AI agents from simple search to intelligent reasoning with structured, long-term memory."
url: https://surrealdb.com/events/build-scalable-memory-for-llms-with-graphs-and-vectors
---

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Wednesday, July 16 at 8:00 PM GMT+1

Webinar

# Build Scalable Memory for LLMs with Graphs and Vectors

Learn how to build persistent memory for LLMs using SurrealDB's graph and vector capabilities. Transform your AI agents from simple search to intelligent reasoning with structured, long-term memory.

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## About this webinar

Most retrieval-augmented systems stop at search. But agents and copilots need structured, persistent memory to reason, adapt, and evolve over time.

In this session, we’ll show how to turn SurrealDB into a long-term memory layer for your LLM apps, combining graph and vector data to power richer context, better decisions.

We’ll walk through practical patterns and show how SurrealDB collapses graph, vector, and relational data into a single memory substrate for next-gen AI.

Speakers

![Alexander Fridriksson](https://cdn.surrealdb.com/1alreqwey5ng0zqo9mkfvcyd.auto)

Alexander Fridriksson

Senior Product Marketing Manager at SurrealDB

## In this session you'll learn

Store persistent memories with graph-linked facts

Perform similarity search and structured reasoning in one query

Use vector embeddings and graph hops inside SurrealDB

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