Make RAG 100x Better with Real-Time Knowledge Graphs
AI Summary
In this video, the concept of Retrieval Augmented Generation (RAG) is explored and its limitations are discussed, particularly its static nature. The host introduces an open-source platform called Graffiti, designed to create temporal-aware knowledge graphs that dynamically ingest ever-changing data while maintaining a historical record of data changes. The video demonstrates how Graffiti can be used in environments that require constant updates and how it compares to other knowledge graph solutions like Light RAG. The host provides a quick start guide on setting up Graffiti, detailing how to integrate it with Neo4j and OpenAI for building interactive AI agents that leverage knowledge graphs. Viewers are shown practical examples of using Graffiti’s functionality and its advantages over traditional approaches. Overall, the video presents Graffiti as a powerful tool for managing dynamic data in AI applications.