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BaranziniLab/KG_RAG

A knowledge graph-based retrieval-augmented generation system that enhances LLMs for domain-specific question answering.

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The system retrieves structured knowledge from knowledge graphs to augment LLM prompts, improving accuracy on knowledge-intensive tasks. It integrates with multiple LLM providers (GPT-3.5/4, Llama) and can be configured for domain-specific applications. Includes a benchmark dataset (BiomixQA) for evaluation.

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