Agentic RAG: Bridging Knowledge Retrieval and Intelligent Decision-Making

Simplicity is beautiful, unless you’re knee-deep in information with deadlines looming. That’s when traditional Retrieval-Augmented Generation (RAG), despite its strengths, begins to show its limits. RAG is great at connecting Large Language Models to external, up-to-date information, making it ideal for answering straightforward queries. However, when it comes to complex enterprise tasks that demand reasoning, adaptability, […]