Project Configuration Overview
Understanding Configuration Lifecycle
When creating a new project, you’ll configure essential settings that define how your project processes and handles data. These configurations include:
Configure models for converting text and images into vectors
Set up enhancement pipelines for data processing and enrichment
Configure AI models for content generation
Define and extend data structures for your project
Most of these settings become permanent after project creation to ensure consistency and stability in your data processing pipeline.
Immutable vs Configurable Settings
Once a project is created, most configuration settings are immutable and cannot be changed. The only configurable setting after project creation is the Generator Module Models.