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SAG TECHNOLOGY FRONTIER
We design how search, answers and generative AI understand brands, and explain the architecture behind SAG in clear technical terms.
SAG / ARCHITECTURE NOTES
From discovery and evidence to data boundaries, reliable execution and delivery—see how each engineering choice works.
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Explains the definition and necessity of Discovery Engineering, how it works, and SAG architecture criteria and practical checklists, drawing on research and official documentation.
Explains the definition and importance of competitive comparisons, how they work, criteria for applying them to SAG architecture, and a practical checklist, with support from research and official documentation.
Explains what audit logs are and why they are needed, how they work, and how to apply them in SAG architecture, with a practical checklist and references to research and official documentation.
Explains the definition and need for RAG provenance, how it works, and the criteria for applying it in SAG architecture, with practical checklists and support from research and official documentation.
Explains the definition and motivation of Self-RAG, how it works, and criteria for applying it to SAG architecture, with a practical checklist grounded in research and official documentation.
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.
Explains what rerankers are, why they are needed, how they work, and how to apply them in SAG architectures, with practical checklists and support from research and official documentation.
Explains what ColBERT 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.
Explains what JSON-LD is, why it is needed, how it works, and how SAG applies it architecturally, with a practical checklist grounded in research and official documentation.
Explains the definition and need for entities and knowledge graphs, how they work, the criteria for applying SAG architecture, and a practical checklist, drawing on research and official documentation.