Graphwise Unveils GraphDB 11 for Enhanced AI Data Management

Graphwise has announced the release of GraphDB 11, a new version of its database engine aimed at enhancing enterprise AI capabilities, announced in a press release. The latest version introduces features that facilitate the integration of large language models (LLMs) and improve the scalability and performance of graph data management.

GraphDB 11 supports a wide range of LLMs, including Qwen, Llama, and Gemini, and offers the ability to deploy custom models. This compatibility is designed to enhance AI applications by providing more accurate and contextually relevant results. The new version also includes GraphQL access, which simplifies data integration for developers, even those without extensive graph technology expertise.

Additionally, GraphDB 11 introduces MCP protocol support, enabling swift integration of data in agentic AI ecosystems. This feature allows AI platforms like Microsoft Copilot Studio to directly access enterprise knowledge, thereby improving decision-making and operational efficiency. The release also includes advanced entity linking to ensure precise and relevant information retrieval from knowledge graphs.

Overall, GraphDB 11 aims to provide a robust infrastructure for organizations to build and scale intelligent applications, leveraging graph data across various use cases while reducing infrastructure costs and simplifying operations.