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E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness
Instead of using LLMs for entity extraction, we employ the traditional NLP tool spaCy to extract entities, and use their co-occurrence in a chunk as relations....
Instead of using LLMs for entity extraction, we employ the traditional NLP tool spaCy to extract entities, and use their co-occurrence in a chunk as relations.
Source: Explosion
Word count: 134 words
Published on 2025-05-30 08:00