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    2025-03-31T17:30:24+00:00
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    LazyGraphRAG is an open-source tool developed by Microsoft Research designed to improve the efficiency and cost-effectiveness of Retrieval-Augmented Generation (RAG). It uses a "lazy computation" strategy, dynamically building indexes and invoking large language models (LLMs) only during the query phase, rather than pre-generating summaries or embeddings. This method significantly reduces upfront indexing costs, making it particularly suitable for cost-sensitive applications.

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    2025-03-31T17:30:35+00:00
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    LazyGraphRAG reduces indexing costs by employing a "lazy computation" strategy. Instead of pre-generating summaries or embeddings, it dynamically builds indexes and invokes large language models (LLMs) only during the query phase. This approach results in indexing costs that are only 0.1% of those of traditional GraphRAG, making it highly cost-effective.

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