TLDR: RavenDB has launched its AI Agent Creator, a groundbreaking feature fully integrated into its NoSQL document database. This innovation aims to drastically reduce the time and complexity involved in building and deploying AI agents for enterprises, transforming development cycles from months to mere days and addressing the high failure rate of AI projects due to integration challenges.
HADERA, Israel – September 8, 2025 – RavenDB, a leading multi-model NoSQL document database, today announced the release of its AI Agent Creator, a pioneering feature designed to accelerate the adoption and success of artificial intelligence within enterprise environments. This first-to-market, database-native solution promises to cut the development time for AI agents from weeks or months to just days, enabling businesses to rapidly deploy personalized and context-aware AI experiences.
The launch comes at a critical time, as AI agents are recognized by Gartner on its 2025 Hype Cycle as one of the fastest-rising technologies. However, a recent study by MIT revealed that a staggering 95% of enterprise AI projects fail to deliver tangible business impact. This high failure rate is often attributed not to the inadequacy of AI models themselves, but to the inherent complexity of embedding these models into existing workflows and data systems.
RavenDB’s AI Agent Creator directly tackles this challenge by allowing AI agents to run natively within the database. This architecture provides developers with secure and direct access to live operational data, eliminating the cumbersome and time-consuming integration processes that typically plague AI deployments. By keeping the agents close to the data and automating their integration, RavenDB aims to convert months of uncertainty into days of reliable, context-aware AI delivery.
Oren Eini, CEO and Founder of RavenDB, emphasized the transformative potential of this new offering. “Consumers can already plan meals, design entire trips, or get advice from AI platforms such as ChatGPT and Gemini in seconds, yet enterprises are still stuck with rigid, scripted chatbots,” said Eini. “Our AI Agent Creator is the missing piece, enabling developers to build fully integrated agents directly within the database, with secure access to live operational data so that they can go from idea to proof of concept in minutes, and production-ready agents in a matter of just a few days.”
Unlike traditional scripted bots or generic AI-assisted chatbots, RavenDB’s AI Agent Creator empowers developers to deploy intelligent agents with built-in guardrails. Developers can define the precise scope within which each agent operates on behalf of specific users, ensuring secure and controlled interaction with sensitive operational data. This capability allows for seamless connection to existing systems while maintaining data integrity and security.
Also Read:
- Redis Bolsters AI Capabilities with Acquisition of Real-Time Data Platform Decodable
- KAIST Unveils ‘Chimera’: A Breakthrough Database System to Power Smarter AI Agents
RavenDB, a hybrid NoSQL document database, is trusted by 12,000 companies across 50 industries globally. Known for its performance, reliability, and developer-friendly features such as full-text search, automatic indexes, and an intuitive studio for monitoring, RavenDB continues to innovate, now integrating Generative AI directly into its engine to support the next generation of AI-first applications.


