The promise of truly intelligent AI that provides accurate, up-to-date, and context-aware responses is being realized through Retrieval-Augmented Generation (RAG). This innovative technique significantly enhances large language models (LLMs) by grounding their answers in external, verifiable knowledge. But how does RAG efficiently sift through vast datasets to find relevant information in real time? The answer…
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