Introduction to GraphRAG: Combining Knowledge Graphs with RAG
GraphRAG enhances retrieval-augmented generation by grounding LLM responses in structured knowledge graphs instead of flat vector embeddings.
GraphRAG enhances retrieval-augmented generation by grounding LLM responses in structured knowledge graphs instead of flat vector embeddings.
Build AI-powered applications with Neo4j as the knowledge layer — from graph-backed RAG to autonomous graph agents.
Understand knowledge graphs from first principles — RDF, property graphs, SPARQL, Cypher, and why they matter for AI applications.
World Office is an AI-first, privacy-focused office suite with local-first collaboration, AI agents, and knowledge graphs. Built on AGPLv3 + Commercial licensing.
Interactive exploration of prompt engineering techniques for Knowledge Graph generation using LLMs
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