Tag: IBM
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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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Harnesses in AI: A Deep Dive
Real-World Applications: Enterprise Security and Scaling Cost-Effectively This methodology isn’t just for toy projects; it forms the core of modern enterprise deployments. At IBM, these architectures are deployed via open-source initiatives like Open RAG. Large enterprises operating within heavily regulated, data-sensitive industries use a rigorous harness layer to run Retrieval-Augmented Generation across fragmented internal assets…