Aug. 22, 2023, 7:52 p.m. | Alex Woodie

Datanami www.datanami.com

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those possibilities for its customers by announcing the capability to store vector embeddings, enabling it to function as long-term memory for an LLM such as Read more…


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capability customers database databases embeddings enabling function graph graph database graph databases integration intersection language language models large language large language model large language models llm long-term memory neo4j news in brief property property graph vector vector-embedding vector embeddings

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