🔧 Real-World Applications of RAG in AI Agent Development

1. Introduction: The Rise of RAG in AI Agent Development


Retrieval-Augmented Generation (RAG) augments a large language model with a retrieval layer that fetches relevant, authoritative context at inference time. Traditional models rely on static pretraining, which limits accuracy when domain knowledge changes. RAG-enabled systems couple...