OVERVIEW What is RAG in AI? It stands for RetrievalAugmented Generation, a method that enhances large language models by incorporating real-time information retrieval into the generation process.
HOW IT WORKS Instead of relying only on pre-trained knowledge, RAG retrieves relevant documents or data at the time of the query. The model then uses this information to generate a more accurate and context-aware response.
USE CASES RAG is especially effective in dynamic environments like customer support, knowledge management, and research tools, where access to current or domain-specific information is crucial.