Graph RAG and Agentic RAG (Part 2): Where Retrieval Finally Gets Smart

1. 1Explore the limitations of flat vector search for multi-hop questions and entity relationship tracking
2. 2Build a Graph RAG model to improve retrieval for complex queries
3. 3Configure an Agentic RAG system to enable autonomous retrieval and reasoning
4. 4Test the performance of Graph RAG and Agentic RAG on a dataset with multi-hop questions
5. 5Compare the results of Graph RAG and Agentic RAG with traditional retrieval methods

Data scientists, AI engineers, and researchers working on information retrieval systems can benefit from understanding Graph RAG and Agentic RAG to improve their models' performance

💡 Graph RAG and Agentic RAG can significantly improve the performance of information retrieval systems for multi-hop questions and entity relationship tracking

🚀 Graph RAG & Agentic RAG: Smarter retrieval for complex queries! 🤖