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karginb / Multi-Hop-Question-Answering-with-KG-Infused-RAG

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A Knowledge Graph-Infused RAG framework for multi-hop reasoning over Türkiye-related entities. It utilizes Neo4j for graph storage, Wikidata5M for structured data, and Ollama (Qwen 2.5) for agentic spreading activation to outperform traditional text-based RAG baselines.

natural-language-processing deep-learning neo4j wikidata language-model localllm ollama prompt- rag-pipeline graphrag agentic-ai qwen2-5 bm25-search
  • Updated Apr 25, 2026
  • Python

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