Sketch the monthly cost of a RAG system.
Estimate one-time ingestion plus recurring answer costs for a document question-answering workflow.
Model data verified 2026-09-07. Treat data older than 30 days as due for review and confirm provider documentation before a production decision.
Describe your document set and expected question volume to see a rough monthly estimate.
What this RAG estimate includes
The first-month estimate combines a one-time embedding pass with recurring answer-model usage. Document characters are converted to approximate tokens, embedding cost is applied once, and each monthly question assumes a fixed retrieved-input and answer size. This makes the major cost drivers visible without pretending to model an entire production stack.
Vector storage, database reads, reranking, document updates, observability, retries, hosting, and engineering time are excluded. Before launch, measure chunk counts on your own corpus, sample retrieval quality, estimate how often documents change, and compare the cost of a smaller answer model against the quality loss on real questions.