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GraphRAG (beyond the hype)
Practical AI: Machine Learning, Data Science, LLM
Connect Relationships for Better Insights
Human understanding can connect the relationship between students and their teachers who work together, but traditional vector searches may fail to recognize this semantic similarity due to inadequate modeling. To solve this, using graph structures can explicitly capture relationships through triples, where two entities are linked by a specific relationship. This method allows for richer context to be provided to large language models (LLMs) by combining both dense embedding vector searches and graph traversals, leading to improved retrieval and contextual understanding.
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