Vector Database Costs: Storage, Queries and Hidden Fees
A vector database is the ongoing cost of RAG that keeps billing after embedding is done. Its price is driven by how many vectors you store, their dimensions, and how often you query.
What you pay to store
Storage scales with the number of vectors times their dimension count, plus index overhead. Millions of high-dimension vectors add up, and managed services often bill for provisioned capacity whether or not you use it fully.
Cheaper without hurting recall
Lower vector dimensions, deduplicate near-identical chunks, and right-size your index tier. Many setups over-provision dimensions and capacity, so trimming both cuts the monthly bill with little effect on retrieval quality.
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Frequently asked questions
What drives vector database cost?+
The number of vectors, their dimensions, index overhead and query volume — storage usually dominates for large corpora.
How do I lower vector DB cost?+
Use fewer dimensions, deduplicate chunks, and match your capacity tier to real usage.