RAG Vector Database Cost Calculator for Production AI Search
At meaningful query volume, embedding and vector DB cost routinely exceed LLM inference. Model it before you commit to a vendor β or watch re-embedding quietly dominate your bill.
If tools aren't responding, please .
At meaningful query volume, embedding and vector DB cost routinely exceed LLM inference. Model it before you commit to a vendor β or watch re-embedding quietly dominate your bill.
Most production RAG failures trace back to chunking β the upstream decision that gets the least architectural thought. Plan chunk size, overlap, and strategy before you embed 50GB the wrong way.