The challenge in
social impact work isn’t just having data—it’s finding the right information at
the right time. Enter Retrieval-Augmented Generation (RAG), an AI-powered
approach that improves decision-making in nonprofits, government, and social
services.

In this practical
deep dive, you’ll discover how RAG enhances information retrieval, optimises
service directories, and supports frontline workers. We’ll explore real-world
applications and give you the tools to start implementing RAG effectively.

Learning
objectives:

• Understand RAG (Retrieval-Augmented Generation) – Learn how it improves information retrieval and decision-making.
• Break Down the RAG Architecture – Explore how retrieval
  and generation work together for accurate, context-aware AI
  outputs.
• Implement RAG for Social Impact – Discover how RAG-powered
  tools can enhance searchability, automate case support, and improve
  knowledge access.
• Navigate Challenges & Ethics – Learn best practices for data
  privacy, misinformation prevention, and bias mitigation.