RAG Cost Calculator
Calculate the full cost of a RAG pipeline: document embedding, vector storage, and LLM generation.
Documents
Retrieval
Embedding
Provider: OpenAI
Dimensions: 1,536
Max input: 8,191 tokens
Price: $0.02/1M tokens
Cost Breakdown
2,000Total Chunks
$0.020Indexing (one-time)
$0.016Per Query
$46.89Monthly Total
One-Time Indexing
| Total chunks to embed | 2,000 |
| Tokens per chunk | 512 |
| Total tokens to embed | 1,024,000 |
| Indexing cost | $0.020 |
Monthly Query Costs
| Monthly queries | 3,000 |
| Query embedding cost | $0.0030/mo |
| LLM generation cost2,710 input + 500 output tokens/query | $46.89/mo |
| Total monthly cost | $46.89/mo |
Save your results — get the cheatsheet
Drop your email and I'll send over my RAG Architecture Playbook (free PDF). You'll also join the newsletter — unsubscribe anytime.
Estimates assume ~50 tokens per query and ~100 system prompt tokens. Actual costs depend on your tokenizer, chunk strategy, and provider pricing. Vector database storage costs (e.g., Pinecone, Weaviate) are not included. All calculations run locally in your browser.