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Operations Guide

How to Calculate RAG Pipeline Cost

RAG costs combine embedding generation, vector storage, retrieval queries, and generation. This guide breaks down each component with realistic volume assumptions.

Direct answer

RAG costs combine embedding generation, vector storage, retrieval queries, and generation. This guide breaks down each component with realistic volume assumptions.

Fast path

  1. Calculate embedding cost: documents × tokens per doc × embedding price per token.
  2. Estimate vector storage: dimensions × vectors × storage cost per GB.
  3. Project retrieval queries: monthly queries × top-k results × retrieval latency.

Guide toolkit

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Implementation Steps

  1. Calculate embedding cost: documents × tokens per doc × embedding price per token.
  2. Estimate vector storage: dimensions × vectors × storage cost per GB.
  3. Project retrieval queries: monthly queries × top-k results × retrieval latency.
  4. Add generation cost: queries × context tokens × generation price per output token.

Related Guides

Use these adjacent playbooks to keep the same workflow connected across discovery, conversion, and execution.

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