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Auto-RAG automates iterative retrieval in RAG systems

Published on December 2, 2024, the post describes a method that plans searches and refines queries across multiple interactions, adjusting the number of iterations to the question's difficulty.

Published on December 2, 2024, the post introduces Auto-RAG: a fine-tuned language model that plans searches and refines queries across multiple interactions until it gathers enough external information. According to the description, the number of iterations varies with the difficulty of the question.

The material concerns automating information-retrieval planning in RAG systems. To learn the details and verify what was demonstrated, consult the original post and check its method and results; the available summary does not specify metrics or particular tests.

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