AI Embedding Cost Calculator
Estimate the cost of generating embeddings and storing them in a vector database — essential for budgeting RAG and semantic search systems.
How to use AI Embedding Cost Calculator
- Enter the number of documents and average chunks per document.
- Set the average tokens per chunk.
- Select an embedding model and vector DB provider to see costs.
What is AI Embedding Cost Calculator?
Retrieval-Augmented Generation (RAG) systems need embeddings for every document chunk, plus vector database storage. This calculator estimates both embedding generation costs and monthly vector DB hosting fees.
Enter your document count, average chunk size, and choose an embedding model to see total cost of ownership for your RAG pipeline.
FAQ
- How often do I need to re-embed?
- Only when documents change. Incremental updates are much cheaper than full re-indexing.
- What about query costs?
- Query embedding costs are typically much lower than indexing costs. Add your daily query volume for a complete estimate.
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