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GraphAide: Building and Utilizing Knowledge Graphs for Domain-Specific Digital Assistants

  • Researchers from the Pacific Northwest National Laboratory have proposed GraphAide, an advanced LLM-based capability that offers insights into domain-specific data and allows users to ask natural language questions.
  • GraphAide introduces a comprehensive methodology and reference architecture to integrate GenAI with semantic web technologies through a modular and extensible RAG approach.
  • GraphAide's architecture combines agentic and chain-based approaches to create a complex RAG system that utilizes multiple LLM instances for diverse tasks.
  • GraphAide demonstrates its effectiveness through the generation of comprehensive KGs from news articles and shows improved NER and relation extraction quality compared to baseline approaches.

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