From running models to building systems
Running a model and building with one are different skills. This post opens the AI Engineering series and lays out why the next nine posts exist.
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AI Engineering
Posts on AI engineering, LLM systems, and software development.
RAG done right: chunking and retrieval mechanics
Naive RAG breaks in practice long before the model does. Chunking strategy and embedding choice decide most of it, and here's where top-k search quietly fails.
Beyond vector search: hybrid, rerank, and graph RAG
When plain vector search hits its ceiling, three upgrades actually help: hybrid search, reranking, and graph RAG. When each one earns its added complexity.