7 tips to optimize Azure Cosmos DB costs for AI and agentic workloads
AI apps and agentic workloads expose inefficiencies in your data layer faster than any previous generation of apps. You’re storing embeddings, serving low-latency retrieval, handling bursty traffic from chat and orchestration, and often operating across regions. Done right, Azure Cosmos DB can support these patterns with high performance and cost controls built in. Done wrong, […]
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