StarTree has announced two major AI-native enhancements to its real-time analytics platform: Model Context Protocol (MCP) support and vector embedding model hosting. These features enable real-time Retrieval-Augmented Generation (RAG), agent-facing applications, and conversational querying at enterprise scale and speed. MCP allows AI agents to access real-time data for decision-making beyond static knowledge, while vector auto embedding accelerates vector generation and ingestion for RAG use cases. MCP will be available in June 2025; vector auto embedding is expected in Fall 2025. The platform now supports dynamic agent interactions, seamless natural language querying, and streamlined RAG pipelines-advancing the shift from static data [...]The post StarTree Launches AI-Native Innovations for Real-Time Data at Enterprise Scale first appeared on TFiR.
StarTree is a California-based SaaS platform that provides solutions such as cloud data analytics, anomaly detection, and risk monitoring for enterprises.