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

📰 Medium · RAG

Learn how Graph RAG and Agentic RAG improve retrieval for multi-hop questions and entity relationships

intermediate Published 18 Apr 2026
Action Steps
  1. Apply Graph RAG to improve retrieval for multi-hop questions
  2. Use Agentic RAG to track entity relationships across large datasets
  3. Configure a vector database to support Graph RAG and Agentic RAG
  4. Test the performance of Graph RAG and Agentic RAG on a benchmark dataset
  5. Compare the results of Graph RAG and Agentic RAG with traditional retrieval methods
Who Needs to Know This

Data scientists and researchers working on information retrieval and question answering systems will benefit from this article, as it provides insights into advanced RAG techniques

Key Insight

💡 Graph RAG and Agentic RAG enable smarter retrieval by incorporating graph structures and agent-based architectures

Share This
💡 Graph RAG and Agentic RAG take retrieval to the next level for multi-hop questions and entity relationships!
Read full article → ← Back to Reads