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What Is Retrieval-Augmented Generation (RAG)? Architecture, Costs, and Where It Breaks
Retrieval-augmented generation is the dominant pattern in enterprise AI. A framework for how RAG works, what it costs, and where it quietly fails.
Retrieval-augmented generation is the dominant pattern in enterprise AI. A framework for how RAG works, what it costs, and where it quietly fails.
Vector search powers RAG and semantic retrieval. How embeddings, ANN indexes (HNSW, IVF, ScaNN), and hybrid search work, and when each beats keyword search.
Deep analysis across the systems, strategies, and economics that shape modern technology.
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