About the GenAI Foundations: Context Grounding training

This course is designed for UiPath Global Product Support (GPS) engineers and other UiPath customer-facing technical roles who support customers adopting agentic products and using Context Grounding within the UiPath platform. You’ll explore how Context Grounding enhances accuracy and trust by connecting agentic tools to organization-specific data, learn how it fits within the AI Trust Layer, and get hands-on practice configuring indexes with Orchestrator Storage Buckets and OneDrive. The course also covers key best practices, security measures, and troubleshooting techniques to help you guide customers through steps for reliable configurations and resolve common issues effectively.

Disclaimer: This course and all information contained herein are intended for internal use only. Graphics, diagrams, examples, and other materials should not be exported or shared with customers.

Note: Please note that agentic products and features are rapidly evolving. Always refer to UiPath’s official documentation for the most current information.

Product alignment

This course was built using the 2025.10 staging version of UiPath Cloud.

Learning prerequisites

To make the most of this course, it is necessary to understand the UiPath Agentic Automation Platform.   Recommended prep courses in UiPath Academy:  

• Introduction to Agentic Automation  

• Introduction to Automation  

• Build your first agent with UiPath Studio Web 

• Agentic prompt engineering 

Audience

This course is designed for Global Product Support Engineers and other UiPath technical professionals who support customers using Context Grounding with UiPath agentic products.

Agenda

This course covers key areas around:   

• Introduction & Overview – Define what Context Grounding is, how it supports UiPath’s agentic products, and why it’s essential for customers who want their agents to use relevant, organization-specific data. Review UiPath search strategies (Semantic, Structured, and DeepRAG) and understand which are best suited for different data types and use cases.   

• Architecture & Configuration – Explore how Context Grounding fits within the UiPath AI Trust Layer, and learn the roles of its key components such as the Ingestion Pipeline, Retrieval Engine, and LLM Gateway. Practice creating and managing Context Grounding indexes using Orchestrator Storage Buckets and OneDrive, and learn how data moves securely through ingestion and retrieval flows.   

• Best Practices & Troubleshooting – Learn about configuration and security best practices that keep systems reliable and customer data protected. Identify and resolve common setup or runtime issues, review license considerations, and practice gathering and interpreting key logs (Execution Trace, HAR Trace, and AppInsights) to pinpoint and document root causes effectively.   

• Assessment – Evaluate your knowledge and readiness through a final quiz focused on Context Grounding concepts and support scenarios. 

Learning objectives

At the end of this course, you should be able to:  

• Introduction & Overview – Define what Context Grounding is, how it supports UiPath’s agentic products, and why it’s essential for customers who want their agents to use relevant, organization-specific data. Review UiPath search strategies (Semantic, Structured, and DeepRAG) and understand which are best suited for different data types and use cases.   

• Architecture & Configuration – Explore how Context Grounding fits within the UiPath AI Trust Layer, and learn the roles of its key components such as the Ingestion Pipeline, Retrieval Engine, and LLM Gateway. Practice creating and managing Context Grounding indexes using Orchestrator Storage Buckets and OneDrive, and learn how data moves securely through ingestion and retrieval flows.   

• Best Practices & Troubleshooting – Apply configuration and security best practices that keep systems reliable and customer data protected. Identify and resolve common setup or runtime issues, review license considerations, and practice gathering and interpreting key logs (Execution Trace, HAR Trace, and AppInsights) to pinpoint and document root causes effectively.