Home Innovation Big Data Graphwise Launches GraphDB 11 ...

Graphwise Launches GraphDB 11 to Transform Enterprise AI and Big Data Management

Big Data

Business Honor
09 July, 2025

New GraphDB 11 enhances AI accuracy, supports LLMs, and simplifies enterprise data integration.

Graphwise, a leading provider of Graph AI technology has announced GraphDB 11, an innovative graph database engine developed to enhance enterprise knowledge management and form a sound basis for reliable AI applications. Founded on its status as one of the industry's most flexible graph databases, version 11 makes way for strong enhancements to support multiple business applications, reduce infrastructure costs, and simplify operations.

One of the key features of GraphDB 11 is wider support for a variety of Large Language Models (LLMs) such as Qwen, Llama, Gemini, DeepSeek, and Mistral. The wider support allows companies to work with both in-house and local AI models effectively. The new GraphRAG (Retrieval-Augmented Generation) functionality supports natural language access to enterprise knowledge graphs, allowing companies to increase the accuracy of AI and reduce the error rate, which means more accurate decision-making.

GraphDB 11 also comes with MCP protocol support, facilitating smooth integration in AI frameworks like Microsoft Copilot Studio. This makes it possible for organizations to transform generic AI solutions into strategic assets by establishing them on contextual, structured, domain-specific data for making decisions with insight. Another feature included is the Precision Entity Linking, which improves words of language being matched to the right concepts in the database without confusion and with ease of retrieving information.

The platform natively supports direct GraphQL, ease of access and query over graph data for developers, enabling faster development of AI applications. Performance is improved by way of higher availability, enhanced security, and scalable multi-tenancy in order to adapt to growing enterprise needs. Repository caching enhances responsiveness and scalability to ensure high-performance on large-scale knowledge centers to the benefit of multiple projects. Overall, GraphDB 11 provides scalable, cost-efficient solutions that help companies leverage the maximum value of Big Data and AI to inform faster, better business decisions.