Graph + AI


GenAI With the breakthrough of large language models, adding generative AI capabilities to your applications is now possible for every developer. Neo4j’s knowledge graph grounds LLM responses in validated facts using retrieval augmented generation (RAG). Model Context Protocol (MCP) Explore how the Model Context Protocol enables seamless interaction between LLMs and external systems like Neo4j using structured interfaces. Context Engineering Aura Agent GraphRAG GraphRAG: Retrieval-Augmented Generation with Neo4j Use this subcategory to ask questions, share ideas, or get help building RAG-powered applications and discuss how to connect LLMs to your graph data for smarter, more context-aware AI. AI Agents Stay tuned for more coming!
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