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NODES 2025 - Speaker Roundtable 3 Build Scalable Memory for LLMs with Graphs and Vectors 1 PyDataVE #23 - #GraphRAG #Analysis #Forecasting 1 PyData Tallinn x Wise: Meetup #7 (2025 Nov) 1 Global Agentic Night Berlin: Exploring the Future of AI Agents 1 People Inc. (formerly Dotdash Meredith) Tech Appy Hour 1 NoSQL Data Stores - What, Why, How? 1 Graph-Powered Fraud Detection for Financial Services 1 GenAI Loft London - Day 6: Code. Scale. Disrupt 1

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Building Memory with Graphs + Vectors in SurrealDB

2025-07-16 · Build Scalable Memory for LLMs with Graphs and Vectors

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graph hops llms relational data similarity search surrealdb vector embeddings

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.