Perspectives and practice from MirrorShip
Product thinking, technical explainers, and field experience across enterprise agents, real-time data, business context, and governance.
从数据到 Context：MIP 如何让 AI 真正理解企业
MIP 以实时统一的数据引擎为基础，将企业数据、知识与业务语义连接起来，为各类 Agent 提供数据与 Context。
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From Data to Context: How MIP Helps AI Understand Your Business
Enterprise AI needs more than access to data. MIP connects enterprise data, business semantics, and supporting context to help agents answer business questions and produce results teams can verify.
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Semantic View in MIP, Part 1: Defining Business Semantics in the Data Engine
In the introduction to this series, we looked at a common problem: business definitions already exist, but every analytical consumer may have to rebuild them.
September 23, 2026Read article →MIP Launch: Making Enterprise Data a Business Foundation Agents Can Understand and Use
MirrorShip officially launches MIP, the unified enterprise data intelligence platform that brings together the data foundation, enterprise context, and governed agents.
August 18, 2026Read article →Lakehouse: Building the Data Foundation for the Age of Agents
When data consumers shift from people to agents, the criteria for a data foundation change: programmability, semantic consistency, and real-time performance become core.
August 10, 2026Read article →Practice Guide: Drawing Safe Data Boundaries for Agents
Using a real scenario, this guide shows how to configure permissions, auditing, and rollback policies for data agents in MIP.
July 28, 2026Read article →
StarRocks 向量索引如何让大模型“记性更好”？
向量索引技术让 AI 不再局限于训练时固化的知识，而是能够动态调用外部知识库，实现“知识即服务”的能力。
August 26, 2025Read article →从一个真实业务问题开始，验证 MIP 的价值
带上一个指标、流程或数据难题，和我们一起评估 MIP 如何在真实业务环境中提供支持。