Enhancing the response of LLMs using knowledge graphs

Knowledge graphs enhance retrieval-augmented generation (RAG) by providing structured, contextual knowledge that improves the accuracy and relevance of AI-generated responses. By integrating knowledge graphs, RAG models can retrieve precise information and reason over relationships between entities, leading to more informed and factually correct outputs.

Key Takeaways

• Grounding LLMs with knowledge graphs
• Knowledge Graphs
• Graph Data Science 
• Semantic Search

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Bio

Mohammad Abuhassan- Lecturer|Swinburne University of Technology| Australia

A sessional lecturer in the Computing Technologies Department at Swinburne University of Technology. I specialise in Data Science and its applications. My research interest is applying advanced machine learning techniques to solve fundamental and real-world problems.