Retrieval-Augmented Generation: The 2025 Definitive Guide
This 2025 guide explores Retrieval-Augmented Generation (RAG), a natural language processing technique that enhances AI by dynamically integrating external information into its responses. RAG overcomes limitations of traditional models by using a retrieval mechanism to access real-time data, improving accuracy and context awareness. The guide examines RAG's technical aspects, including retrieval and generation mechanisms, dense vector embeddings, and various applications across multiple field...