Top 10 RAG (Retrieval-Augmented Generation) Tooling Features, Pros, Cons & Comparison
Introduction RAG (Retrieval-Augmented Generation) tooling refers to platforms and frameworks that combine information retrieval systems (like vector databases) with AI generation models (like LLMs). In simple terms, instead of relying only on a model’s internal knowledge, RAG tools allow AI to fetch real-time or private data and use it to generate more accurate and contextual … Read more