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GraphRAG (beyond the hype)
Practical AI: Machine Learning, Data Science, LLM
Explicit Relationships Minimize Hallucinations
Modeling relationships explicitly between sources and targets in large language models (LLMs) enhances context retrieval and generation processes. Utilizing both dense embedding vector searches and graph traversal to inform outputs can provide deeper insights, thereby reducing the risk of hallucination. However, the potential for hallucination remains significant when relationships are not clearly defined, highlighting the necessity of explicit connections in LLM outputs to mitigate inaccuracies.
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