Financial Modeling

Enterprise RAG Cost Calculator

Model vector search inference, embedding volumes, chunk sizes, and semantic cache savings with transparent calculations.

Monthly User Queries Total retrieval queries

User Question Tokens Average prompt query size

LLM Response Tokens Generated answer tokens

Retrieved Chunks Per Query Top-K passages retrieved

Tokens Per Chunk Average chunk size

LLM Input Price ($/1M tokens) e.g. $3.00 (Claude 3.5 Sonnet)

LLM Output Price ($/1M tokens) e.g. $15.00

Embedding Price ($/1M tokens) e.g. $0.02 (text-embedding-3-small)

Semantic Cache Hit Rate (%) Cached query hits

Estimated Monthly RAG Cost

$0.00

Estimated Cost Per Query

$0.0000

LLM Context Generation Portion

$0.00

Estimated Cache Savings / Mo

$0.00

Assumes standard reciprocal rank fusion and vector embedding lookup per query. Model prices are editable to reflect your enterprise agreements.