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Learn how to build context-aware AI agents directly on your existing operational database without the complexity, security risks, and hallucinations typically associated with connecting LLMs to secure data. Discover a revolutionary approach that embeds AI capabilities as part of the operational database itself, enabling you to go from live database to production-ready, secure AI agent in hours rather than months. Explore how to define AI assistants with system prompts and structured result formats, handle advanced queries about policies and procedures, and automatically retrieve and explain complex business rules. See how AI can automatically create escalation documents within existing business systems while maintaining security and data integrity. Understand the breakdown of traditional architecture complexity and why simpler approaches often yield better results. Watch RavenDB's CEO Oren Eini demonstrate this innovative methodology through practical examples including an HR assistant that can handle vacation policies, cancellation procedures, and automated document creation. Gain insights into building personalized AI experiences that will define the next generation of software while avoiding the pitfalls of traditional RAG implementations and complex vector database architectures.
