What to expect at Neo4j’s GraphSummit: Join theCUBE Sept. 24
Exploring the critical synergy between graph databases and enterprise-grade generative AI workflows.
Enterprises are facing a context problem — and models alone are not enough to solve it. Graph databases, which connect data with intelligent context that models and agents can better understand, are becoming a critical part of application development. Neo4j Inc., a leader in grap...
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Generative AI models often struggle with fragmented data, making graph-based context retrieval essential for high-accuracy enterprise applications. By linking relationships alongside raw information, graph databases empower agents to navigate complex knowledge structures that traditional vector search might overlook.
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