Tag: GraphRAG
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Beyond Simple RAG: How Context Engineering and GraphRAG Fix AI Performance
As Martin Keen from IBM explains, context is the single biggest bottleneck in getting AI to do what you want. While simple semantic search architectures helped us get started, building truly reliable, enterprise-grade AI systems requires shifting toward Context Engineering, Retrieval-Augmented Generation (RAG), and advanced GraphRAG models.
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How GraphRAG Makes AI Agents Smarter
Traditional RAG was a great start, but GraphRAG takes AI agents to the next level. With structured graphs, hybrid search, and n8n integration, your AI workflows become smarter, more context-aware, and better equipped to solve complex problems.