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データ埋め込み

  • Graphium is an open-source RAG platform integrating knowledge graphs with LLMs for structured query and chat-based retrieval.
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    What is Graphium?
    Graphium is a knowledge graph and LLM orchestration framework that supports ingestion of structured data, creation of semantic embeddings, and hybrid retrieval for Q&A and chat. It integrates with popular LLMs, graph databases, and vector stores to enable explainable, graph-powered AI agents. Users can visualize graph structures, query relationships, and employ multi-hop reasoning. It provides RESTful APIs, SDKs, and a web UI for managing pipelines, monitoring queries, and customizing prompts, making it ideal for enterprise knowledge management and research applications.
    Graphium Core Features
    • Knowledge graph integration
    • Retrieval augmented generation
    • Semantic search
    • LLM-based chat
    • Graph visualization
    • RESTful API
    • SDK support
    Graphium Pro & Cons

    The Cons

    No pricing or commercial support information available.
    Lacks mobile or ready-to-use application presence in app stores.
    Potentially requires technical expertise to install and use, as indicated by OS-specific installation instructions.

    The Pros

    Uses multi-agent systems to perform complex geographical analysis.
    Utilizes Keras models allowing for customizable AI model training and application.
    Open source, enabling community contributions and transparency.
    Integrates multiple data sources including Google Street View and OpenStreetMap.
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