Slashing Embedding Costs by 94% and Latency to 14ms: The ONNX Quantization + Semantic Cache Pattern for Production
Current Situation Analysis Embedding APIs are a silent budget killer and a latency trap. When we audited our vector search pipeline at scale, we found that text-embedding-ada-002 was consuming $18,400/month while adding 340ms of P99 latency to every retrieval-augmented generation (RAG) request.
