Verbis Graph Engine – GraphRAG Knowledge Retrieval
Baida ALena · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 6 captures on record
What the publisher says
As described on Microsoft Marketplace.
Verbis Graph Engine is a GraphRAG-powered knowledge retrieval platform designed to help organizations access, connect, and reason over complex document collections and enterprise knowledge environments.
This solution addresses a common enterprise challenge: fragmented information spread across documents, reports, technical documentation, internal data, and knowledge bases. Verbis Graph organizes and connects this information into a unified graph-based knowledge layer that maps relationships between entities and documents, enabling accurate retrieval, contextual understanding, and actionable insights.
Show the rest of the publisher’s description (21 more lines)
The platform helps organizations structure and navigate complex knowledge environments, improving accessibility to critical information and supporting more efficient decision-making.
By combining semantic vector search with knowledge graph relationships, Verbis Graph enables context-aware retrieval and multi-document reasoning. This hybrid approach allows teams to discover relevant information across large document collections while reducing hallucinations in AI-generated responses.
Verbis Graph provides full answer traceability, allowing users to see which document passages and sources contributed to each response. This transparency enables result verification, improves trust in AI outputs, and supports compliance-sensitive environments where explainable AI is essential.
Organizations can use Verbis Graph to improve knowledge utilization, reduce operational friction, and gain deeper insight from their document repositories while maintaining control over their data and workflows.
Key Benefits
- Understand complex knowledge across multiple documents using GraphRAG-powered multi-document reasoning
- Reduce AI hallucinations by grounding responses in trusted organizational content
- Verify answers with full traceability, including references to the exact document passages used in each response
- Lower AI operating costs through efficient retrieval that reduces unnecessary LLM token usage
- Analyze business documents easily, including PDF, DOCX, CSV, TXT, and other common formats
- Deploy and scale flexibly, supporting evaluation, pilot, and production workloads
- Integrate into enterprise environments and modern cloud-based knowledge workflows
Deployment
Verbis Graph Engine integrates easily with Azure-based workflows and enterprise data environments.
A free demo environment is available, allowing teams to evaluate Verbis Graph knowledge retrieval capabilities before implementing the solution in production environments.
Pricing
Pricing is available upon request.
Please contact us to discuss your requirements and receive a tailored commercial proposal aligned with your deployment model and operational needs.
Support
For assistance with deployment, onboarding, scaling strategy, or custom solutions, contact:
support@verbisgraph.com
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
2 linksLinked repositories
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