Working with AI in Lowgile
Lowgile provides a set of AI capabilities that allow applications to process documents, analyze files, extract structured data, automate business workflows, and integrate external AI providers into application logic.
This guide introduces the foundational concepts and prerequisites required for building AI-powered solutions in Lowgile.
Common AI implementation patterns
Section titled “Common AI implementation patterns”AI functionality in Lowgile is commonly used for:
- Document analysis
- Structured data extraction
- AI-assisted workflow automation
- File and attachment processing
- AI-powered application services
These patterns form the basis of many AI-driven workflows and document processing solutions built on the platform.
Prerequisites
Section titled “Prerequisites”Before implementing AI-powered functionality, familiarity with the following concepts is recommended:
You should also have:
- A configured AI provider connection
- Access to AI model credentials
- Basic familiarity with workflows and services
- A Lowgile application environment for testing
AI provider connections
Section titled “AI provider connections”Lowgile AI functionality is typically configured through an AiConnection configuration item. This object stores the provider-specific connection details and credentials used by AI services, workflows, and document processing functionality.
Before implementing AI workflows, ensure that the required provider connection has been configured and tested.
Related tutorials
Section titled “Related tutorials”The following tutorials demonstrate practical AI implementation patterns:
Related concepts
Section titled “Related concepts”The following documentation provides additional background for AI-powered application development: