Verbis Graph Engine – GraphRAG Knowledge Retrieval
Baida ALena · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Verbis Graph Engine is a GraphRAG knowledge retrieval application for private document collections. It combines semantic vector search with knowledge graph traversal to support reliable AI retrieval, source-grounded answers, AI output validation, and multi-hop reasoning across documents, entities, and relationships.
Delivered as a Kubernetes application for Azure Kubernetes Service (AKS), Verbis gives developers and technical teams a practical path from a free GraphRAG evaluation to ongoing PAYG usage through the same Microsoft Marketplace offer.
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Key capabilities
- GraphRAG hybrid retrieval: combine vector similarity with knowledge graph relationships for connected, context-aware results beyond traditional vector-only RAG.
- Private document retrieval: index and query PDF, DOCX, CSV, and TXT content across multiple sources.
- AI output validation: inspect cited answers, connected evidence, and source material instead of relying only on generated text.
- Knowledge graph exploration: discover relationships between entities and information distributed across documents.
- Developer access: use the web interface or FastAPI endpoints, with OpenAPI documentation available at /docs.
- Operational readiness: use the health endpoint at /_stcore/health for orchestration and monitoring.Free Evaluation
Evaluate GraphRAG, vector search, and knowledge graph traversal at no software license cost. The Free Evaluation plan is designed for demonstrations, learning, integration tests, and small document collections. It is not intended for large production workloads. Azure infrastructure costs still apply.
PAYG per pod
The commercial PAYG plan is billed through Microsoft Marketplace according to active pod usage and the price shown for the plan. It is designed for ongoing pilots and operational workloads without an upfront capacity commitment.
Deployment and data control
- Installs on a customer-managed AKS cluster through the Azure Marketplace cluster-extension experience.
- Runs inside the customer Azure environment.
- Customers control AKS sizing, network policy, storage configuration, and Azure infrastructure costs.
- Persistence depends on the storage configuration selected for deployment; container-local data should not be treated as durable across pod replacement.
- External model services are optional and depend on the selected configuration and plan.Typical use cases
- Enterprise knowledge assistants and private AI search
- Technical documentation and internal support
- Research and multi-document analysis
- AI governance, auditability, and compliance workflows
- Due diligence and regulated knowledge basesVerbis does not use customer content to train shared models. See the privacy policy and product documentation linked in this listing for operational and data-handling details.
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Agent build and provenance
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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
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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