Highlights from Azure Cosmos DB Conf 2026 cover AI-driven reliability, security, and performance priorities. Key themes include AI-assisted data model review, cost reduction strategies (over 60% savings reported), vector search capabilities using the DiskANN algorithm, hybrid and full-text search, and scaling from zero to petabytes. A notable session shares a war story about building an AI system that was too costly and how it was optimized. The event also touched on vibe-coded applications going viral and the architectural importance of memory decisions for cost, recall quality, and user experience.
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