LongRAG

Enhanced Retrieval-Augmented Generation Model for Long-Text Question Answering

CommonProductProgrammingLong-Text Question AnsweringRetrieval-Augmented
LongRAG is a robust dual-perspective, retrieval-augmented generation system paradigm based on large language models (LLM), designed to enhance the understanding and retrieval capabilities of complex long-text knowledge. This model is particularly suited for Long-Context Question Answering (LCQA), as it effectively handles global information and factual details. Background information indicates that LongRAG improves performance on long-text question-answering tasks by integrating retrieval and generation techniques, especially in scenarios requiring multi-hop reasoning. The model is open-source and freely available, primarily targeting researchers and developers.
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37.69%

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5.7

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