RAG Cost Estimator

Estimate the full cost of a RAG (Retrieval-Augmented Generation) pipeline: one-time corpus embedding + monthly vector DB storage + per-query embedding + LLM completion. Compare configurations side-by-side.

How to use the RAG Cost Estimator

Set your corpus size, query volume, retrieval top-k, and pick an embedding + LLM combo. The estimator splits cost into: one-time corpus embedding (paid once), per-query embedding (small), retrieval (usually negligible — most vector DBs price by storage + reads, not compute), and LLM completion (usually dominant). Vector DB cost is approximated for managed Pinecone.