Seamlessly and securely integrate your business data with generative AI
to become a powerful company that maximizes the potential of AI
High-performance VectorDB Engine
for MaximizingGenerative AI Utilization
To overcome the challenges of hallucination and data freshness in generative AI, the widely adopted RAG (Retrieval-Augmented Generation) paradigm emphasizes the significance of VectorDB engine performance. GraphAI-V maximizes the performance of generative AI through world-leading technology in graph indexing for large-scale VectorDBs.
High-Performance GNN Engine
for Solving Complex Problemswith Generative AI
Many challenges faced by enterprises correspond to complex optimization problems that are difficult to solve using generative AI alone. GraphAI-A addresses these issues by applying world-leading GNN (Graph Neural Network) technology to leverage relationships among data inherent in enterprise databases.
High-Performance Graph-Relational DB Engine preparing for a New Era of Generative AI
The demand for storage, management, and querying of graph databases (e.g., knowledge graphs) has been significantly increasing for generative AI. GraphAI-T is a high-performance database engine supporting a new SQL:2023 standard that can handle both relational and graph data.
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