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Retrieval-augmented generation—or RAG—is an AI strategy that supplements text generation with information from private or proprietary data sources, according to Elastic, the search AI company. RAG ...

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These results reflect increased marketing investments to support international expansion and the integration of the rag & bone brand. The company anticipates GAAP and adjusted operating margins ...

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Chunking is a pivotal preprocessing step in RAG because it influences how the retrieval module works and how contextual information is fed into the generation module. The following section provides a ...