Graphwise Graph AI Suite boosts knowledge management capabilities

Graphwise, a leading Graph AI provider, is introducing the Graph AI Suite, a comprehensive, powerful, Graph AI platform with the goal to accelerate how businesses unlock value from their data.

Available this quarter, and with its built-in AI Flywheel, it turns enterprise knowledge into a self-improving engine for trustable AI by leveraging GraphRAG. The platform’s state of the art capabilities “dramatically accelerate and simplify” how organizations build intelligent knowledge graphs that continuously learn at scale. It also closes the loop from creation to utilization in a way that no longer requires significant manual effort to build the initial knowledge graph, according to the company.

Graphwise offers a unified platform that includes modeling tools, connectors, a graph database, and an MCP server to interact with any third-party AI tool. This one-stop-shop approach reduces complexity, integration costs, and the risks associated with piecing together a solution from multiple vendors. Equally important, it lowers the barrier to entry by empowering enterprise end-users to architect their own AI solutions, Graphwise said. 

By providing AI-ready data and content at scale, the Graph AI Suite supports the development of precise and hallucination-free AI applications and agents with the following capabilities:

• Modeling and Mapping: This capability allows organizations to build a graph from structured and unstructured data, including automated taxonomy building. It helps them mature from "text on a document" toward "structured content" and, eventually, a knowledge graph, improving GraphRAG performance.
• Ingestion and Automation: Designed to work in any enterprise setup, these components connect to arbitrary systems and support specific use cases for each organization, enabling seamless integration with various LLMs such as Gemini, Llama, and others and agentic AI platforms including Microsoft Copilot Studio.
• Semantic Analysis: This capability automatically moves content toward a knowledge graph by creating taxonomies and enterprise vocabularies. It drives semantic metadata enrichment across data silos in a performant, cost-efficient, and consistent manner, building the basis for a highly accurate GraphRAG infrastructure. As a key part of the AI Flywheel, it makes the platform easy for subject matter experts to use.
• GraphRAG: This is the Graph AI Suite’s core capability for delivering trustworthy AI. It uses the knowledge graph to furnish the LLM accurate, context-rich and semantically relevant data, mitigating hallucinations and ensuring responses are grounded in verifiable facts.

“The global demand for knowledge graphs is rapidly increasing, driven by their role as essential components for grounding LLMs and their use in building enterprise-wide semantic layers,” said Andreas Blumauer, senior vice president of growth at Graphwise. “Combining the expertise from recently merged entities Ontotext and Semantic Web Company, the Graph AI Suite provides the search, analytics, and discovery solutions that are vital for today’s modern businesses. Our new Suite is uniquely positioned to lead advancements in the GraphRAG space and enables customers to easily gain access to the data and knowledge needed to support high-performance AI-driven data integration and analytics.”

For more information about this news, visit www.graphwise.com.