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Push.ai Documentation

Introduction

The Push.ai Query Agent navigates the Business Graph™ to help any user answer any business question.

Query Agent

Use Reports to share metrics in shared channels where teams can discuss and take action.

Reports

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Admins & Data Teams

Learn how to get started with Push.ai as a new user.

Business Users

Understand how caching and datasource queries work in Push.ai.

Caching

Metrics are the basis for measuring your business. They are times-series aggregations of data that can be defined inside of Push.ai or integrated using semantic layers such as [the dbt Semantic Layer](https://getdbt.com), [Looker](https://cloud.google.com/looker/) and [Cube](https://cube.dev).

Metrics

Dimensions are categories or attributes used to organize and analyze data within a business. Dimensions help break down data into specific segments, such as time, location, or product type, allowing a business to understand and compare different aspects of their operations.

Dimensions

If Dimensions are like groups, Dimension Values are the individual parts that make up each group. For example, Marketing Channel is a Dimension, while Paid Search, Direct Traffic and Email are Dimension Values.

Dimension Values

Artifacts are one of the core primitives of knowledge in Push.ai. They represent various types of content and provide valuable context that enhances strcutured data analysis.

Artifacts

Map data with business context using a graph-based model of your business.

How It Works?

Populate your Business Graph™ to improve the relevancy of Push.ai's AI systems.

Use Cases

Learn how Push.ai processes and analyzes unstructured data to enhance your Business Graph™.

How It Works

Unstructured data changes the future of business intelligence.

Connect with sources of KNowledge and unstrcutured data through your data warehouse, file uploads and native API integrations.

Knowledge Integrations

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