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GraphRAG (beyond the hype)
Practical AI
From Text to Graph: Unraveling Structure in Chaos
Extracting structured information from unstructured text requires advanced tools and models, such as Lamindex and Langshain, which utilize large language models (LLMs) for generating entities and relationships. However, LLMs face challenges, including hallucinations and lack of reproducibility, making their outputs unpredictable. Despite these limitations, alternative methods are emerging that do not rely on LLMs, such as custom machine learning models like Rebel, which are specifically designed for extracting triples from unstructured sources. These advancements highlight the ongoing exploration and innovation in the field of information extraction.
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