LightRAG is a retrieval-augmented generation model designed to enhance performance in text generation tasks by combining the strengths of retrieval and generation. The model delivers more accurate and relevant information while maintaining generation speed, which is especially crucial for applications requiring quick and precise information retrieval. The development of LightRAG stems from the need for improvements over existing text generation models, particularly in scenarios involving large datasets and complex queries. Currently, it is open-source and freely available, providing researchers and developers with a powerful tool to explore and implement retrieval-based text generation tasks.