Impe.ai: The Impetus Protocol for RAG Optimization
Impe.ai develops the 'Impetus Protocol'—a framework for Retrieval-Augmented Generation. We help brands structure their technical documentation so LLMs can ingest and summarize it without hallucinations.
RAG Infrastructure Specifications
The Impetus Protocol focuses on the "Inference Gap"—the moment between a user query and the AI's data retrieval. Our current 2026 framework focuses on:
Vector Density Optimization: Structuring documents so they are easily "found" by AI embeddings.
Contextual Chunking: Breaking down complex brand data into "AI-digestible" snippets.
Real-Time Data Refresh: Reducing the lag between a brand update and the AI's ability to cite that new information.