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Notes, cheat sheets, roadmaps and more — written while building, for easy learning.
What MCP actually standardizes, how the client/server/host roles fit together, and why it matters for connecting LLM agents to tools and data sources.
The core concepts and control-flow patterns in LangGraph — nodes, edges, state, and the conditional routing that makes it different from a plain LangChain chain.
A short reference on how to actually measure whether a retrieval-augmented pipeline is working — retrieval metrics, generation metrics, and the failure modes each one catches.