https://ift.tt/UL2Sfxu By combining knowledge graphs with RAG, GraphRAG addresses common challenges of large language models (LLMs), such a...
By combining knowledge graphs with RAG, GraphRAG addresses common challenges of large language models (LLMs), such as hallucinations, while enriching responses with domain-specific context for better quality and precision than traditional RAG methods. Knowledge graphs provide essential contextual data, enabling LLMs to deliver reliable answers and act as trusted agents in complex tasks. Unlike conventional […]
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