RAG System Cost Calculator
Estimate vector DB storage, embedding, and query costs for a Retrieval-Augmented Generation system.
Inputs
Results
Total chunks
50,000
Total monthly cost ($)
$347.04
One-time embedding cost ($)$2.56
Vector storage (GB)0.29
Vector DB monthly cost ($)$3.5
Daily query cost ($)$11.45
Monthly query cost ($)$343.54
Embedding tokens (millions)25.6
How to Use This Calculator
- Enter Document Count and average Tokens per Document for your knowledge base (a page is ~500 tokens).
- Set Chunk Size (512 tokens is common) and Chunk Overlap to control how documents are split for retrieval.
- Enter Embedding Dimensions (1536 for OpenAI ada-002) and expected Queries per Day.
- Set Top-K Retrieved Chunks to control how many context chunks are injected per LLM call.
- Review Total Chunks, One-time Embedding Cost, Vector Storage (GB), Monthly Query Cost, and Total Monthly Cost to design your RAG system budget.
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