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.
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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.
Per-task cost on agentic workflows is dominated by failure cases, not the happy path. Here's how to size retry budgets, human review, and unit economics before you ship.
The single most expensive AI mistake is picking the pattern first and the problem second. Here's how to choose between RAG, GraphRAG, fine-tuning, agentic, and hybrid β by task, not by brand.
AI governance isn't a compliance checkbox; it's a set of architectural prerequisites. The cost of retrofitting them is 5-10x the cost of designing them in. Plan before you ship.
The advertised context window is not the usable context window. Here's the math that decides whether your agent works in production β and the calculator that does it for you.
GPU self-hosting wins on dollars-per-token at scale, but the break-even is almost always 5-20x higher than teams estimate β because they forget power, utilization, ops headcount, and quantization quality loss.