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What is RAG? A plain-English explainer for people who use AI but never built one

What is RAG? A plain-English explainer for people who use AI but never built one

RAG, or retrieval-augmented generation, is the technique behind 'AI that can read your documents.' Here's what it actually does, what it does not fix, and when you actually need it.
Insightful AI Desk 18 May 2026
The official Model Context Protocol simple diagram: AI applications acting as MCP hosts connect through MCP clients to local and remote MCP servers, with each server exposing tools, resources

What is MCP? The protocol that lets AI agents use your tools

MCP is Anthropic's open standard for connecting AI assistants to external data and tools. Here's what it does, what it leaves to implementers, and what it changes for developers.
Insightful AI Desk 14 May 2026
The RAG pipeline diagram: documents chunked and embedded into a vector database in pre-production, then a user query embedded and matched against that database at query time, with the top-k r

RAG vs fine-tuning vs prompting: which do you actually need?

Three techniques get pitched as competitors. They aren't. They solve different problems. Here's the decision frame for choosing one or combining all three.
Insightful AI Desk 14 May 2026

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