Retrieval Augmented Generation (RAG)

Retrieval Augmented Generation is a technique that combines generative AI models with external information sources. RAG systems can retrieve relevant information from a knowledge base and incorporate it into the generation of answers or content. This improves the accuracy and relevance of AI output, especially for tasks that require up-to-date or specialized knowledge.