RavenDB, a high-performance NoSQL document database trusted by developers and enterprises worldwide, has launched its new feature, bringing native GenAI capabilities directly into its core database engine, eliminating the need for middleware, external orchestration, or costly third-party services. RavenDB’s new feature supports any LLM (open-source or commercial), allowing teams to run GenAI tasks directly inside the database. Moving from prototype to production traditionally requires complex data pipelines, vendor-specific APIs, external services, and significant engineering effort. With this feature, RavenDB removes those barriers and bridges the gap between experimentation and production, giving developers complete control over cost, performance, and compliance. The result is a seamless transition from idea to implementation, making the leap to production almost as effortless as prototyping. What sets RavenDB apart is its fully integrated, flexible approach: developers can use any LLM on their terms. It’s optimized for cost and performance with smarter caching and fewer API calls, and includes enterprise-ready capabilities such as governance, monitoring, and built-in security, designed to meet the demands of modern, intelligent applications. By collapsing multiple infrastructure layers into a single intelligent operational database, RavenDB’s native GenAI capabilities significantly upgrade its data layer. This enhancement accelerates innovation by removing complexity for engineering leaders. Whether classifying documents, summarizing customer interactions, or automating workflows, teams can build powerful features directly from the data they already manage, with no dedicated AI team required.