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Notes on knowledge representation
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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration
The authors propose integrating Large Language Models (LLMs) with a mathematical knowledge base called MathModDB to improve its accessibility, explainability, and interoperability. The integration is achieved through a…
Is GraphRAG Needed? From Basic RAG to Graph-/Agentic Solutions with Context Optimization
The authors present a framework for evaluating and comparing different types of RAG (Retrieval Augmented Generation) scenarios, including GraphRAG and Agentic RAG. They provide implementations for nine standardized RAG…
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