Graphwise GraphRAG
Scale your enterprise intelligence with a low-code, production-ready workflow engine.
What is GraphRAG?
GraphRAG (Graph-based Retrieval-Augmented Generation) is the evolution of AI retrieval. While traditional RAG relies on simple text snippets, GraphRAG connects LLMs to a structured Knowledge Graph. This enables multi-hop reasoning, eliminates AI hallucinations, and delivers the factual accuracy required for mission-critical decision-making.
However, most organizations struggle to realize these benefits because current RAG systems are “black boxes” built with complex, code-heavy frameworks. These solutions work well in an experimental setting, but often fail to scale because they lack the AI governance and scalability required by the modern enterprise.
Move Beyond “Black Box” AI
Graphwise changes this by providing the foundational enterprise-ready engine. Developing a proprietary workflow engine of this caliber requires years of R&D. By providing this infrastructure out-of-the-box, we democratize the creation of trustworthy and explainable AI.
By providing the ‘engine’, we remove the developer bottleneck and allow your technical team to focus on ‘driving the car’ together with the Subject Matter Experts (SMEs). This allows your team to move immediately to implementing the business logic and intelligence that drives ROI, rather than wrestling with the internal plumbing of experimental scripts.
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: Ensure safety and compliance from Day 1
- Concept Enrichment: Query expansion that understands your specific business domain
- Short-Term Memory: Agents that maintain context across the conversation
- MCP Tool Consumption: Optimized specifically for GraphRAG operations
2. Low-Code, High Control
Powered by an intuitive visual interface, our platform allows Professional Services, Partners, and Client Tech Teams to adapt processes with a near-zero learning curve.
- Visual Debugging: Trace execution paths visually to identify errors instantly
- Self-Service: Enable your teams to update and modify agents independently without waiting for core engineering
3. Production-Grade Governance
Accuracy is nothing without grounding. Our workflows are deeply integrated with Graphwise’s Semantic Backbone, delivering superior context and reducing hallucinations.
- Profile & Monitor: Built-in operational engines to profile production queries and catch errors in real-time
- Scalable Architecture: No limits on executions or environments
How It Works
From Concept to Production
Graphwise Workflow Engine
Developing a proprietary workflow engine of this caliber would cost an enterprise years of R&D. Graphwise delivers this capability today, allowing you to bypass the infrastructure build and move straight to ROI.
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
Download this white paper to discover how Graphwise platform offers an enterprise-ready, low-code engine to operationalize explainable, governed and context-aware AI for the modern enterprise.
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