Integration Systems

Integration systems in the context of AI refer to the middleware and orchestration layers that allow different artificial intelligence components to communicate. This includes connecting Large Language Models (LLMs) with external databases through Retrieval-Augmented Generation (RAG), integrating AI into existing enterprise workflows, and managing the flow of data between sensors, processing units, and user interfaces. These systems often utilize APIs, webhooks, and specialized connectors to ensure interoperability, scalability, and data consistency across a heterogeneous technology stack. They are critical for moving AI from isolated experiments into production-ready environments.