Enhancing Language Model Accuracy: The Power of Retrieval-Augmented Generation (RAG) and Knowledge Graphs
Retrieval-Augmented Generation (RAG) Retrieval-Augmented Generation (RAG) is a technique that incorporates external data to enhance responses provided by language models. In RAG, information is fetched from diverse data sources, ensuring responses are not only generated but also informed and accurate. This approach contrasts the traditional models that generate responses based purely on trained data without
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