XIAOMIN – Agileex AI4BI Platform

XIAOMIN is Agileex's AI4BI platform. Different from similar products on the market, XIAOMIN fully integrates Microsoft Power BI reports and semantic models. Users can view reports, query semantic models, perform data analysis, download data, and more through natural language questions in AI scenarios...

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Product Advantages

Deep Power BI Integration

Deeply integrated with Power BI semantic models, it can understand the models.

Natural language questions can be converted into DAX queries.

The "Q&A" function can be called to experience native Q&A.

Supports Multiple Large Language Models

Optimal models can be allocated for computation based on the characteristics of different models.

It supports replacing with stronger large language models just like changing batteries.

With in-depth thinking, XIAOMIN guides you to explore business models thoroughly.

Integrated into Business Processes

It can be seamlessly connected to platforms such as portals, OA, and WeChat Work.

Data services support multiple terminals and scenarios, and can be used anytime and anywhere.

Deep Power BI Integration

Deeply integrated with Power BI semantic models, it can understand the models.

Natural language questions can be converted into DAX queries.

The "Q&A" function can be called to experience native Q&A.

Supports Multiple Large Language Models

Optimal models can be allocated for computation based on the characteristics of different models.

It supports replacing with stronger large language models just like changing batteries.

With in-depth thinking, XIAOMIN guides you to explore business models thoroughly.

Integrated into Business Processes

It can be seamlessly connected to platforms such as portals, OA, and WeChat Work.

Data services support multiple terminals and scenarios, and can be used anytime and anywhere.

Core Functions

Cross-model Analysis

Supports the analysis of multiple Power BI semantic models and can also provide analysis conclusions by combining data warehouse or offline file content.

Natural Language Query

Users can ask questions in everyday language, and the system will automatically understand and return data and visual results.

Multi-modal Output

The system can display data in various forms such as tables, charts, and cards, and intelligently recommend the most suitable display method.

Context Understanding

Based on the user's historical questions, it continuously optimizes the answers and supports continuous follow-up questions.