Source link : https://tech365.info/digital-native-startups-are-ditching-inflexible-databases-for-his-or-her-agentic-stacks/
Offered by MongoDB
The hole between what AI fashions and brokers can produce and what legacy infrastructure can reliably help is named architectural drag, and it’s the defining bottleneck of the agentic period.
The info layer beneath an agentic system should deal with variable schemas, vector embeddings, real-time retrieval, and multi-tenant scale, usually concurrently and with out human intervention to handle migrations — however conventional relational databases weren’t natively designed for doc flexibility or AI capabilities. Mounted schemas require guide updates each time an AI agent introduces a brand new information form, whereas separate vector databases add latency and synchronization overhead.
Three digital-native startups — Huntr, Modelence, and Tavily — solved this downside the identical approach: by constructing on MongoDB Atlas, a unified database platform with native vector search, hybrid search, and managed autoscaling. Their experiences outline what an agent-native information stack appears to be like like in manufacturing, and why utilizing Atlas permits builders to simply construct complicated AI native firms.
Modelence: Constructing the agent-native cloud
Modelence is an AI app builder with an open-source framework designed particularly for agent-native improvement, enabling anybody to construct and deploy production-ready net purposes, together with APIs and databases, in minutes. The corporate acknowledged early that almost all backend…
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Author : tech365
Publish date : 2026-07-07 16:02:00
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