7 tips to control Azure Cosmos DB costs in AI and agent workloads
AI apps put unusual pressure on the data layer. Teams store embeddings, run low‑latency retrieval, and deal with bursty traffic from chat systems and orchestration, often across regions. Azure Cosmos DB can handle these patterns with built‑in performance and cost controls—but inefficient queries or over‑provisioning can quickly drive costs up.