Jayesh Asrani

As AI evolves towards autonomous agents, integrating real-time data becomes crucial. This session explores how StarTree’s support for the Model Context Protocol (MCP) and native vector auto-embedding empowers AI agents with live, structured data access. Attendees will gain insights into building scalable pipelines that combine streaming ingestion (Kafka), real-time analytics (Apache Pinot), and AI models. A live demonstration will showcase the integration of Kafka → Pinot → AI agent, highlighting the architecture that enables real-time decision-making with contextually relevant information. This talk emphasizes practical takeaways for architecting systems that seamlessly blend AI and analytics technologies.