RAG Pattern
Retrieval-Augmented Generation — a technique where AI models retrieve relevant documents from a knowledge store before generating responses. Combines the breadth of a large knowledge base with the reasoning capability of language models. Often uses vector embeddings for semantic search.
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Building a Second Brain for AI Agents
How to architect an Obsidian vault with typed frontmatter so AI agents can reason with your knowledge, not just search it.
Context Engineering Principles: The Mental Models I Use Every Day with AI Agents
Named principles for context engineering — less is more, knowledge gardening, structure over retrieval — discovered through daily agent usage, not academic theory.
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