MatrixOne Intelligence provides powerful multimodal data processing capabilities, building a solid foundation for your Agentic RAG applications — empowering agents to achieve smarter reasoning and more precise actions.
Seamlessly integrate heterogeneous internal and external data sources, cleanse and enhance data into AI-Ready assets accessible by agents.
Support text, image, audio, and video types to build cross-modal knowledge networks, giving agents stronger contextual understanding and reasoning.
Millisecond-level vector retrieval and knowledge matching with dynamic knowledge base updates, enabling agents to access the latest information in real time.
Jinpan Technology built an enterprise AI data foundation on MatrixOne Intelligence, unifying structured and unstructured data governance to create demonstrative agent applications.
Learn MoreStudents don't know what to read or how; parents can't see progress; teachers can't follow every child. Tencent built AI Tutor on MOI, using a multi-agent architecture that turns one reading session into a personalised path, interactive Q&A, comprehension testing and knowledge expansion.
The knowledge that resolves a ticket is scattered across implementation docs, configuration records, patch notes, SOPs and past tickets. Hand built an AI knowledge base for ERP operations on MOI, with retrieval scoped to each customer's environment and version, and answers that cite their source.
Amway Nutrilite adopted MatrixOne Intelligence to build a unified AI data engineering platform, cutting average data preparation time for new AI applications by 80%.