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Intermediate

Cost Optimization

The architectural practice of minimizing the financial expenditure of RAG pipelines and AI agents by optimizing token density, implementing semantic caching, and utilizing model routing to balance inference quality against API and infrastructure costs.

Definition

The architectural practice of minimizing the financial expenditure of RAG pipelines and AI agents by optimizing token density, implementing semantic caching, and utilizing model routing to balance inference quality against API and infrastructure costs.

Disambiguation

Refers specifically to LLM token consumption and vector database egress, not general business accounting.

Visual Metaphor

"A hybrid engine that switches between an electric motor for city driving (cheap, small tasks) and a gas engine for the highway (expensive, complex reasoning)."

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Conceptual Overview

The architectural practice of minimizing the financial expenditure of RAG pipelines and AI agents by optimizing token density, implementing semantic caching, and utilizing model routing to balance inference quality against API and infrastructure costs.

Disambiguation

Refers specifically to LLM token consumption and vector database egress, not general business accounting.

Visual Analog

A hybrid engine that switches between an electric motor for city driving (cheap, small tasks) and a gas engine for the highway (expensive, complex reasoning).

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