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At the center of this release is the evolution of RAG architectures. Traditional RAG pipelines typically ... NotebookLM Enterprise, a research assistant framework, enables contextual summarization, ...

Retrieval-Augmented Generation (RAG) addresses this by grounding answers in external knowledge, though it often retrieves irrelevant or noisy context, particularly in specialized domains like ...

The retrieved chunks are passed to the LLM alongside the original query as context. The LLM generates a response based on the query and the provided context.