Graphwise GraphRAG
Eliminate AI hallucinations and cut token costs with an enterprise-ready, low-code workflow engine that forces your AI to answer with 100% verified corporate facts
Graphwise GraphRAG is an context-aware workflow engine that streamlines Graph-based Retrieval-Augmented Generation, ensuring GenAI delivers highly accurate, audit-ready answers.
Because generic AI models lack specific domain context, enterprises are often forced to spend months building fragile, custom AI plumbing and complex workflows from scratch.
Graphwise eliminates this engineering bottleneck with a production-grade, out-of-the-box engine, that allows you to completely skip the painful custom build phase, slash time-to-market, and deliver immediate corporate ROI.
Why Graphwise GraphRAG?
1. Out-of-the-Box Templates
Don’t start from a blank page. We provide standard, pre-configured workflow templates optimized for high-value enterprise use cases.
- Built-in guardrails for total compliance, ensuring enterprise safety from Day 1 with strict governance layers
- Smart domain querying that inherently understands your specific business domain
- Short-term conversational memory with agents maintaining context across the conversation without losing track
- MCP tool consumption, optimized specifically for GraphRAG operations
2. Low-Code Layout, High-Level Control
Powered by an intuitive visual interface, our platform allows Professional Services, Partners, and internal technical teams to adapt processes with a near-zero learning curve.
- Visual Debugging: Trace execution paths visually to identify errors instantly
- Profile & Monitor: Rely on built-in operational engines to profile production queries and catch errors in real-time before they impact users
- Scalable Architecture: Enjoy limitless executions or environments
3. Deep Integration with Your Semantic Backbone
Accuracy is nothing without grounding. Our workflows are deeply woven into the Graphwise Semantic Backbone, delivering superior data context to the LLM, reducing hallucinations, and lowering token compute costs by up to 80%.
How It Works
Our GraphRAG Architecture
Graphwise Workflow Engine
Building a context-aware workflow engine of this caliber takes years of R&D. Graphwise delivers it now, so you can bypass the build and reach ROI faster.
Suggested Resources
What Is GraphRAG?
Retrieval Augmented Generation enhances LLMs with external knowledge for more accurate, contextual question answering.
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Graph RAG
With Graph RAG, your LLM model can retrieve “fresh” information to obtain higher-quality answers and fewer hallucinations.
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Beyond the Prototype: Unpacking Scalable, Enterprise-Ready GraphRAG at Graphwise
If you’re tired of brittle RAG pipelines and endless prompt tweaking, this session shows how GraphRAG turns enterprise knowledge into reliable, audit-ready intelligence that truly works in production.
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The Semantic Advantage: Scaling Enterprise-Ready GraphRAG and Trustworthy AI with Graphwise
Discover how Graphwise platform offers an enterprise-ready, low-code engine to operationalize explainable, governed and context-aware AI for the modern enterprise.
Read moreExplore Our Success Stories
Expanding Editorial Output for the FIFA World Cup, Delivering 800+ Pages in Weeks
The BBC used semantic technology to To power its 2010 FIFA World Cup website to cut editorial costs and improve user experience.
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Scaling Search and Content Governance with Semantic Technology
Microsoft Docs transformed millions of technical documents into a semantically enriched, scalable knowledge system.
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Transforming AI Reliability by Building Knowledge Graph-Powered Customer Support
Avalara used GraphRAG to establish a foundation for reliable, mission-critical AI applications in tax and financial services.
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Building a Collaborative Knowledge Hub for AI-Powered Predictive Intelligence
Sensing Clues implemented Graphwise’s Knowledge Management Suite to build vast organizational knowledge models.
Read moreBook a demo
Schedule a call with our team to see how Graphwise GraphRAG can cut your development costs and eliminate AI risk.
