Key Takeaways:
- Graphwise released GraphDB 11 to address the failure rate of AI projects by improving data infrastructure and governance
- The new release enables large language models to interact with structured enterprise knowledge using tools like GraphRAG and MCP
- Features include natural language queries, GraphQL support, scalable performance, and precision entity linking
- Supports a range of open-source and proprietary LLMs, including Llama, Gemini, and Qwen
- Executive leadership emphasizes the need for AI that is grounded in trusted enterprise data
Graphwise just unveiled GraphDB 11, a major upgrade to its semantic graph database platform designed to support enterprise-grade AI systems, reduce hallucinations in large language models (LLMs), and improve AI reliability and contextual accuracy.
The release responds to a growing problem in the industry. Gartner projects that 60% of AI projects will fail by 2026 due to poor data readiness. Graphwise believes GraphDB 11 directly addresses this issue by equipping organizations with the infrastructure and governance capabilities needed to build trustworthy AI systems at scale.
“Enterprise organizations continue to struggle with AI project abandonment due to a lack of AI-ready data, a significant challenge reflected in Gartner’s prediction that through 2026, 60% of AI projects will face this very fate,” said Atanas Kiryakov, President of Graphwise. “GraphDB 11 directly addresses this by delivering the data infrastructure and governance that is essential for cutting-edge AI, including generative AI. We empower customers to build intelligent, scalable applications by making their complex, unstructured data accessible and actionable through precise domain knowledge and robust reasoning.”
AI + Knowledge Graph Integration
GraphDB 11 enables integration with open-source and proprietary LLMs such as Qwen, Llama, Gemini, DeepSeek, and Mistral, along with in-house models. The updated platform supports a feature called “Talk to Your Graph,” which allows users to query knowledge graphs in natural language via GraphRAG (retrieval-augmented generation). This functionality is intended to give AI systems structured access to verified knowledge, reducing the risk of inaccurate or hallucinated outputs.
MCP Protocol for Agentic AI
Graphwise also added support for the emerging MCP (Modular Cognitive Protocol) standard, which facilitates seamless integration between GraphDB and agent-based systems, including Microsoft Copilot Studio. This enables autonomous agents to ask contextually grounded questions and retrieve relevant information from enterprise knowledge graphs—allowing for more accurate and reliable automation.
Precision Entity Linking and GraphQL Support
Another core advancement is precision entity linking, which connects ambiguous user inputs to the correct underlying concept in the knowledge graph. This feature helps ensure consistency in enterprise applications where data accuracy is critical, such as compliance, manufacturing, and customer service.
The new GraphQL endpoint makes it easier for developers to query graph data using widely adopted syntax, reducing the need for specialized knowledge in SPARQL or RDF.
Performance and Scale
GraphDB 11 includes significant backend enhancements: high-availability clustering, advanced caching mechanisms, improved performance for complex queries, and full multi-tenancy support. These improvements aim to support demanding use cases like digital twins, autonomous agents, and enterprise-wide knowledge hubs.
Positioning and Industry Relevance
With this release, Graphwise is positioning GraphDB as a core enabler of next-generation AI systems—particularly those that require structured, verifiable knowledge inputs. It targets enterprises seeking to deploy AI responsibly and at scale, with a focus on applications in search, summarization, decision support, and compliance automation.
The announcement reflects a broader industry trend: moving beyond generic AI chatbots to systems that can reason, act, and advise based on vetted organizational data.
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Rich Tehrani serves as CEO of TMC and chairman of ITEXPO #TECHSUPERSHOW Feb 10-12, 2026 and is CEO of RT Advisors and is a Registered Representative (investment banker) with and offering securities through Four Points Capital Partners LLC (Four Points) (Member FINRA/SIPC). He handles capital/debt raises as well as M&A. RT Advisors is not owned by Four Points.
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