Verbis Free Demo - GraphRAG AI Document Processing & Knowledge Assistant
Prodigy AI Solutions · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
# VERBIS GRAPH - GraphRAG Knowledge Assistant
Verbis Graph is a fully managed SaaS platform that lets professionals, researchers, and enterprise teams query complex document collections using plain language.
Show the rest of the publisher’s description (62 more lines)
Powered by GraphRAG technology, it combines vector search with knowledge graph traversal to deliver citation-backed, explainable AI answers; with lower hallucination risk and no engineering required.
Unlike standard AI document chatbots, Verbis Graph builds a knowledge graph over your entire document corpus. It captures relationships between entities, concepts, and sources. This enables multi-hop reasoning, answering complex questions that require connecting information across multiple documents at the same time, making document analysis and ai document processing more reliable, especially from the point of view of ai accuracy and ai explainability (eg ai for legal teams).
---
## The Problem It Solves
AI works well for general knowledge. But when organizations need answers from their own internal documents, standard solutions fall short in critical ways:
- Information is scattered across hundreds of unconnected files, reports, and systems
- Standard chatbots return isolated answers without connecting related concepts
- Standard RAG retrieves similar passages but cannot reason across multiple documents
- Responses lack explainability - no way to verify where answers come from
- Hallucinations introduce errors that are hard to detect and costly to correct
- Inefficient retrieval drives up LLM token costs at scale
In regulated sectors - public sector, finance, healthcare, legal, pharmaceutical, and enterprise environments - these are not just inconveniences. They are serious operational and compliance barriers.
---
## How Verbis Graph Solves This
Verbis Graph organizes your documents into a unified, graph-based knowledge layer.
It maps relationships between entities across your entire corpus, enabling accurate retrieval, contextual understanding, and multi-hop reasoning across files, departments, and data sources.
You can also explore the built-in knowledge graph visualization to:
- Discover hidden relationships
- Surface non-obvious connections
- Understand how concepts across your documents are linked
Organizations gain reliable answers, full citation traceability, efficient use of resources, without writing a single line of code.
---
## Key Capabilities
- **GraphRAG Hybrid Retrieval**
Multi-hop reasoning across entity relationships in your document corpus - beyond simple similarity search
- **Citation-Grounded Answers**
Every response is linked to exact source passages for full traceability and auditability
- **Knowledge Graph Visualization**
Explore entity relationships and discover non-obvious connections
- **Multilingual Support**
Upload and query documents in any language
- **Multi-Format Ingestion**
Supports PDF, DOCX, TXT, CSV, and scanned documents
- **No-Code Interface**
Upload, index, and query - no engineering or infrastructure setup required
- **Optional Amazon Bedrock Integration**
Can integrate with supported Amazon Bedrock models such as Claude, Llama, and Titan; Bedrock is optional
---
## Built For
- **Legal and compliance** teams requiring auditable AI outputs
- **Financial analysts** working across multi-document research
- **Healthcare professionals** extracting insights from clinical documentation
- **Pharmaceutical and life sciences** organizations accelerating regulatory workflows
- **Public sector agencies** managing policy documents with full auditability requirements
- **Construction and engineering** firms navigating complex technical specifications
- **Enterprise knowledge management** teams replacing manual search workflows
---
## Use Cases
### Enterprise Knowledge Bases
Build intelligent Q&A systems over internal documentation, policies, and procedures with cited, auditable answers.
### Customer Support Automation
Deploy accurate support chatbots grounded in your product knowledge base - answers designed to reduce hallucination risk.
### Compliance & Legal
Provide explainable, source-attributed AI responses for regulated workflows requiring auditability.
### Clinical & Research Intelligence
Enable researchers to query complex multi-document datasets using multi-hop reasoning across entities and relationships.
---
---
## AI Document Processing and Analysis
Verbis is document analysis software for users who need to explore multiple documents without technical setup. Upload supported files, ask questions in natural language, compare connected information, and receive answers grounded in the source documents.
## Choose the Right Free Demo
Choose this SaaS demo for an immediate, no-code evaluation. Choose the Verbis Free container when you prefer to deploy and test the application inside your own AWS environment.
Highlights
Highlighted by the publisher on AWS Marketplace.
No-code AI document processing - Upload supported documents and begin multilingual analysis without configuring containers, infrastructure, or retrieval pipelines.
GraphRAG multi-document analysis - Combine vector search and knowledge graph traversal to connect entities and evidence across files, with grounded answers and source citations.
Immediate SaaS evaluation - Use the managed Free Demo for fast testing, or choose the Verbis Free container when deployment inside your own AWS environment is preferred.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
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.
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
This product is offered as a free edition at no cost. As no fees are charged for usage, refunds are not applicable. If you have questions about access, usage, or account-related issues, please contact our support team at support@verbisgraph.com
Sources
Publisher resources
4 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.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.