This project enables natural language queries to retrieve relevant nodes and relationships from a graph graph database populated by the llm-extraction-from-artifacts pipeline. It aims to build intelligent agents that can interpret user questions, understand graph context, and return meaningful insights from the knowledge base.
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This project enables natural language queries to retrieve relevant nodes and relationships from a graph graph database populated by the llm-extraction-from-artifacts pipeline. It aims to build intelligent agents that can interpret user questions, understand graph context, and return meaningful insights from the knowledge base.
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nes07/llm-knowledge-search
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This project enables natural language queries to retrieve relevant nodes and relationships from a graph graph database populated by the llm-extraction-from-artifacts pipeline. It aims to build intelligent agents that can interpret user questions, understand graph context, and return meaningful insights from the knowledge base.
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