AI Calculator Pro

SaaS Docs Q&A (RAG) Cost Calculator

A docs Q&A assistant retrieves the most relevant help articles and answers in-context, with links to sources. Cost splits between a one-time embedding of your docs and per-query generation.

Worked example

A docs Q&A assistant over 5,000 help articles, answering 2,000 questions a day.

$40.57/month
+ $0.1536 one-time ingestion · $0.000676 per query

Computed at today's verified prices (28 July 2026). Adjust the inputs below for your own numbers.

Tune it: RAG Cost Calculator

Results update automatically as you type.

Result
$40.57/month
+ $0.1536 one-time ingestion · $0.000676 per query
Total chunks
15,000
Ingestion (one-time)
$0.1536
Vector storage
0.10 GB
Storage / month
$0.0257
Per query
$0.000676
Queries / month(2,000/day)
$40.55
Total / month
$40.57

Why this number isn't obvious

Because retrieval supplies the answer, a cheap model with a modest context window matches a flagship on grounded accuracy — so per-query cost stays low. Embedding the docs is a one-time cost; re-embedding only when docs change keeps ongoing spend down.

Frequently asked questions

How often do I re-embed the docs?+

Only when articles change. Embedding is a one-time cost per version of a doc, so incremental re-embedding on edits is cheap; full re-embeds are rarely needed.

Why does RAG allow a cheaper model?+

The retrieved articles carry the facts, so the model mainly reads and summarises them. That's a forgiving task where mid-tier and flagship models perform similarly.

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Estimates for planning, not a quote. Pricing data last reviewed 28 July 2026.