The rise of Agentic AI promises to revolutionize how businesses operate, but realizing its full potential requires a robust architectural foundation. Retrieval-augmented generation (RAG) has emerged…
The rise of Agentic AI promises to revolutionize how businesses operate, but realizing its full potential requires a robust architectural foundation. Retrieval-augmented generation (RAG) has emerged as a critical framework, enabling AI agents to leverage vast knowledge repositories and deliver accurate, context-aware outputs. Let’s explore how RAG bridges the gap between raw data and intelligent action and why it’s essential for building enterprise-grade AI.