Understanding RAG: Improving LLM Accuracy with Context

Retrieval-Augmented Generation (RAG) has become one of the most practical techniques for making large language models reliable in production. Instead of relying solely on what a model memorized during training, RAG retrieves relevant context at query time and grounds the model's response in that context.

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