RePAIR improves agentic RAG performance by learning direct response-to-action mappings without taxonomy-based error categorization or explicit critic supervision.
Parameters: - query (str): input query - topk (int): number of documents Returns: - list of documents sorted by relevance
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Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
RePAIR improves agentic RAG performance by learning direct response-to-action mappings without taxonomy-based error categorization or explicit critic supervision.