Category: AI Trends
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RAG for Code Retrieval Is Losing to Grep: 5 Patterns Worth Copying
Coding agents dropped embeddings for grep-driven search. What that says about RAG for code retrieval, and the 5 patterns enterprise teams should copy.
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Agentic Search Is Quietly Rewiring RAG: 5 Shifts You Can’t Skip
Agentic search now lives inside frontier models, at training and inference time. See 5 shifts your RAG stack needs, from chunk provenance to permissions.
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Deep Research Agents: 5 Retrieval Lessons RAG Teams Should Steal
Deep research agents cracked retrieval with planning, loops, and verification. Here are 5 lessons enterprise RAG teams can copy into their own stacks.
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Long Context vs RAG: 7 Reasons Retrieval Still Wins
Long context vs RAG: benchmarks show models can’t reliably use huge windows. 7 reasons retrieval still wins, plus the cost math.
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Model Context Protocol RAG: 5 Shifts You Can’t Ignore
Model Context Protocol RAG turned retrieval into a public interface. 5 shifts retrieval teams should make now, from tool docs to eval.
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Microsoft Build: What the New ‘Agentic Web’ and AI Tools Mean for Enterprise RAG
Microsoft Build: What the New ‘Agentic Web’ and AI Tools Mean for Enterprise RAG Introduction: The AI Tidal Wave from Build 2025 The air was electric. Microsoft’s Build 2025 conference wasn’t just another tech event; it was a declaration, a glimpse into a future profoundly reshaped by artificial intelligence. With over 50 new AI tools…