Operations Guide
AI Embedding Cost Calculator Guide for RAG Indexing
RAG indexing costs compound when embedding volume is not budgeted. This guide defines an embedding cost planning workflow.
Implementation Steps
- Define embedding workload: document count, average tokens, and refresh cadence.
- Calculate embedding costs: per-token pricing multiplied by document volume.
- Set budget thresholds for initial indexing and ongoing refresh.
- Optimize by chunking strategy and embedding model selection.
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- Provider and model split recommendations
- Budget guardrail design by traffic stage
- KPI plan for spend, quality, and conversion