Retrieval-Augmented Generation (RAG) is an AI technique that enhances the generation of responses by retrieving relevant information from external sources or databases in real-time. RAG makes LLMs more effective by connecting them to external information and tools, leading to more insightful and accurate AI responses.
Explore challenges and the future of RAG agents. Read in detail here
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