RAG as Your Anchor: Grounding Chatbots in Trusted Data
Retrieval Augmented Generation (RAG) combines information retrieval with generative AI, allowing systems to provide more accurate, up-to-date responses. This approach is especially valuable as large language models (LLMs) are limited by the static data they were trained on. This is where RAG steps in. By pulling updated, trusted data from your organisations knowledge bases. RAG […]