Cost estimation tool
Vector Database Cost Calculator
Estimate monthly costs for vector databases based on your vector count and dimensions to budget effectively for retrieval-augmented generation and knowledge applications.
Vector databases are essential for retrieval-augmented generation (RAG) and knowledge management workflows, where large volumes of high-dimensional vectors are indexed and searched. Understanding cost drivers helps enterprise AI buyers and platform teams optimize infrastructure budgets.
This calculator estimates monthly costs based on your vector count and vector dimensionality. It reflects pricing models from leading vector database vendors like Pinecone, Weaviate, and Milvus. Use it to compare potential expenses and inform vendor selection or capacity planning.
Inputs
Enter the total number of vectors you plan to store in the database (e.g., 10,000,000).
Specify the dimensionality of each vector (e.g., 128, 512, 1024).
Enter your expected monthly storage cost per GB. Vendor pricing ranges from $0.10 to $0.50 per GB for vector storage.
Enter your estimated cost for executing 1,000 queries. Vector DB query costs typically vary between $0.05 and $0.30 per 1,000 queries.
Estimate how many vector similarity queries you will run per month.
Result
(vectorCount * vectorDimension * 4) / (1024 * 1024 * 1024)storageGB * storageCostPerGB(monthlyQueryVolume / 1000) * queryCostPer1000storageCost + queryCostCost estimate summary
Note
This calculator provides a simplified cost estimate based on input parameters and common vendor pricing models. Actual costs may vary due to factors such as compression, replication, data egress, and vendor-specific pricing tiers.