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.

이 과정은 참가자가 다음 내용을 익히도록 설계되었습니다:

• Understand RAG (Retrieval-Augmentation Generation)
• Break down the RAG architecture
• Implement RAG for social impact