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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
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Explains the definition and need for RAG evaluation, how it works, criteria for applying it to SAG architecture, and a practical checklist, drawing on research and official documentation.
Explains what CRAG is, why it is needed, how it works, and how to apply it within the SAG architecture, with practical checklists and support from research and official documentation.
Explains what GraphRAG is, why it is needed, how it works, and how to apply it to SAG architecture, with practical checklists and support from research and official documentation.
Explains the definition and need for query decomposition, how it works, criteria for applying it to the SAG architecture, and a practical checklist, with support from research and official documentation.
Explains what chunking is, why it is needed, how it works, and how to apply it in SAG architecture, with practical checklists based on research and official documentation.
Explains what HyDE is and why it is needed, how it works, and criteria for applying it to SAG architecture, with support from research and official documentation and a practical checklist.
Explains what hybrid search is, why it is needed, how it works, and how to apply it within SAG architecture, with practical checklists and support from research and official documentation.
Explains the definition and need for RAG, how it works, criteria for applying it to SAG architecture, and a practical checklist, drawing on research and official documentation.
Explains the definition and need for AI observation, how it works, and criteria for applying SAG architecture and practical checklists, drawing on research and official documentation.
Explains the definition and need for GEO, how it works, and how to apply it to SAG architecture, with practical checklists grounded in research and official documentation.