MOLAVI R&D THINK TANK
Research
Reference frameworks and primary research for becoming a citable source in AI search, RAG systems, and knowledge graphs.
Research note
Vector Perturbation Architecture for RAG
A research note introducing VPA: a practical architecture for reducing semantic entropy, tightening RAG chunks, and improving brand citation absorption in AI search.
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July 28, 2026
The Molavi GEO Pyramid
A white paper defining a five-layer methodology for moving from machine-readable data to zero-prompt agentic mindshare in AI search.