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.
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vector embeddings
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Build Scalable Memory for LLMs with Graphs and Vectors
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Build Scalable Memory for LLMs with Graphs and Vectors
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Build Scalable Memory for LLMs with Graphs and Vectors
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Retrieval, search and knowledge in the age of LLM and Vector Databases
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