Agentic RAG vs Traditional RAG: Architecting Real-Time AI Data Pipelines

Retrieval-Augmented Generation (RAG) solved the initial problem of LLM hallucinations by grounding models in factual data. But traditional RAG architectures share a fundamental flaw: they rely on static data. If you are building an AI agent for finan...