What is RAG, and why should I care?

RAG is a groundbreaking approach that combines the strengths of information retrieval (IR) techniques with the creative capabilities of LLMs. This improvement transforms LLMs from being merely conversationalists to experts capable of engaging in in-depth and contextually rich dialogues on specialized topics, significantly enhancing their use and applicability across various domains.

Large Language Models (LLMs) are typically trained to converse on a wide range of topics with relative ease. However, their responses often lack depth and specificity and they might …

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