RavenDB Introduces Fully Integrated AI Agent Creator

RavenDB, the multi-model NoSQL document database trusted worldwide, has launched its AI Agent Creator, a first-to-market tool integrated directly into the database. This innovation reduces AI agent development from months to just days, addressing a critical enterprise challenge.

Industry analysts note the urgency. Gartner listed AI agents as a fast-rising technology in its 2025 Hype Cycle. Yet, an MIT study revealed that 95% of enterprise AI projects fail, not due to poor models, but because embedding them into workflows is too complex.

RavenDB solves this by running agents natively inside the database. Developers gain secure access to operational data without complex integrations. As a result, organizations can achieve reliable, context-aware AI delivery within days.

Transforming AI Integration for Enterprises

“Consumers can plan trips or get advice in seconds using ChatGPT or Gemini, but enterprises remain limited by rigid bots,” said Oren Eini, CEO and Founder of RavenDB. “Our AI Agent Creator enables developers to design secure, production-ready agents within days, directly in the database.”

Unlike scripted bots, RavenDB agents come with built-in guardrails. Developers define scope, while existing validation, authorization, and business logic remain intact. With its zero-trust, default-deny approach, no data or operations are accessible unless explicitly approved.

When end-users make requests in natural language, RavenDB invokes the agent. It then processes tasks using developer-defined tools, referencing business logic for approved operations. This ensures accurate, personalized responses without moving data externally or compromising security.

Efficiency Meets Security in AI Workflows

The system supports all large language models (LLMs) and applies smart caching to reduce redundant requests. By summarizing agent memory, RavenDB significantly lowers AI costs while maintaining accuracy.

Available with RavenDB 7.1, the AI Agent Creator allows customers to build and deploy agents immediately across cloud, on-premise, and edge environments. The launch highlights RavenDB’s mission to simplify enterprise AI adoption while prioritizing efficiency, scalability, and security.

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News Source: Prnewswire.com