AI agents enhance traditional RAG systems for better data processing
Retrieval-Augmented Generation (RAG) systems are being improved through the integration of AI agents, according to an analysis by Shubham Sharma for VentureBeat. While traditional RAG systems combine data retrieval with language models to provide contextual answers, they are limited to single knowledge sources. The new “agentic RAG” approach incorporates AI agents that can access multiple …