Retrieval-Augmented Generation (RAG) and Agentic RAG

Enterprises need generative AI to reason over their private data—not just the model’s training data. This is where Retrieval Augmented Generation (RAG) makes a difference. By integrating real-time, relevant enterprise data, RAG enhances AI’s accuracy, reliability, and contextual understanding.

Download our infographic to explore the RAG pipeline, the concept of Agentic RAG, and its transformative impact on AI-driven insights.