Embeddings and HNSW: Core Principles of Vector Search Indexes
Explains what HNSW is and why it is needed, how it works, criteria for applying it to SAG architecture, and a practical checklist, drawing on research and official documentation.
SAG TECHNOLOGY FRONTIER
We do not follow the curve.
SAG builds what comes next.
We design how search, answers and generative AI understand brands, and explain the architecture behind SAG in clear technical terms.
SAG / ARCHITECTURE NOTES
Five principles behind SAG today
From discovery and evidence to data boundaries, reliable execution and delivery—see how each engineering choice works.
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