Multi-Agent Systems: The Ideal Framework for Scalable RAG

Retrieval augmented generation (RAG) has emerged as a powerful technique for enhancing large language model (LLM) capabilities. By retrieving relevant information from knowledge sources and incorporating it into prompts, RAG provides useful context for LLMs to produce outputs grounded in facts.

However, existing single-agent RAG systems face challenges w…