Discover how Retrieval Augmented Generation (RAG) can revolutionize existing applications without turning them into chatbots. In this episode of RAG Masters, Neil Katz and Daniel Warfield demonstrate how they built a powerful RAG-powered application for exploring Common Core educational standards in just a few days.
Key points:
RAG is not just for chat applications
Learn how to add AI-powered features to existing apps
See a real-world example using Common Core's Coherence Map
Understand the process of building a multimodal RAG-powered application
Explore the use of GroundX, GPT-4, and other tools in the development process
Whether you're a developer, educator, or AI enthusiast, this episode showcases the versatility and power of RAG beyond traditional chatbots. Learn how to leverage AI to create intuitive, user-friendly interfaces for complex information systems.
#RAG #RetrievalAugmentedGeneration #AI #EdTech #SoftwareDevelopment #CommonCore
00:00 - Introduction
02:15 - Defining the Problem: Common Core Coherence Map
04:30 - Exploring the Existing Coherence Map Application
06:45 - Introducing the RAG-Powered Solution
09:00 - Demo of the New Application
12:30 - Behind the Scenes: How It Was Built
15:45 - Using GroundX for Document Processing
18:00 - Leveraging GPT-4 for Data Restructuring
20:15 - Front-end Development with Vue
22:30 - Handling Edge Cases and Data Validation
24:45 - Potential Applications and Future Developments
27:00 - Closing Thoughts and Resources