Beyond Simple Search
Retrieval-Augmented Generation (RAG) started as a way to feed documents to LLMs. In 2026, it has evolved into "Agentic RAG."
What is Agentic RAG?
Unlike standard RAG, which just fetches text, Agentic RAG can reason about which sources to trust, double-check its own answers, and even perform web searches to find real-time information if the internal knowledge base is insufficient.
This reduces hallucinations to near-zero levels and ensures that the AI's answers are always grounded in fact.