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RAG Evolution – A Primer to Agentic RAG

What is RAG (Retrieval-Augmented Generation)? Retrieval-Augmented Generation (RAG) is a technique that combines the strengths of large language models (LLMs) with external data retrieval to improve the quality and relevance of generated responses. Traditional LLMs use their pre-trained knowledge bases, whereas RAG pipelines will query external databases or documents in runtime and retrieve relevant information […]