Verbis Graph PRO - GraphRAG Retrieval for AI Agents & Amazon Bedrock

enables organizations to deploy a secure, scalable knowledge

retrieval layer directly within their own AWS environment -

supporting customer-controlled deployment, data residency,

and private AWS environments.

By combining vector similarity search with knowledge graph

traversal, Verbis Graph Engine captures relationships between

entities across documents, enabling **multi-hop reasoning**,

**explainable responses**, and **citation-backed outputs**

designed to improve retrieval quality compared with vector-only RAG systems.

It is designed for enterprise AI applications requiring AI governance,

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## Key Features

Supports AI governance, AI compliance, AI explainability, and audit-ready documentation workflows.

### GraphRAG Hybrid Retrieval

Combines vector search with knowledge graph traversal to

deliver context-aware, relationship-aware results beyond

traditional vector-only retrieval. Enables multi-hop reasoning

across entities and documents.

### Explainable, Grounded Responses

All responses are linked to exact source documents, providing

full traceability and auditability - critical for compliance

and regulated environments.

### Enterprise Deployment Inside Customer VPC

Runs inside the customer AWS environment via Amazon ECS.

**Amazon ECS**, with Amazon EKS support available for Kubernetes-based

deployments, ensuring:

• Full data residency
• VPC-level isolation
• Alignment with enterprise security policies

Supports **BYOC (Bring Your Own Cloud)** and

**BYOK (Bring Your Own Key)** for complete control over

infrastructure, data residency, and encryption.

### Framework & Ecosystem Integration

Compatible with LangChain, LlamaIndex, AutoGen, CrewAI,

and Amazon Bedrock Agents for seamless integration into

existing AI pipelines.

### Production-Ready Performance

Designed for low-latency retrieval and scalable workloads

in production environments.

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## Why GraphRAG?

Traditional RAG systems rely on vector similarity, which

may miss relationships across documents.

> **Example:** When asking *"Which marketing campaigns were

> affected by the supply chain disruption in Q3?"* - vector

> search retrieves similar documents but cannot connect related

> entities. GraphRAG models relationships across documents,

> enabling multi-hop reasoning and more complete,

> context-aware answers.

This matters most in regulated environments where accuracy,

traceability, and explainability are non-negotiable.

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## Use Cases

| Industry | Use Case |

|---|---|

| **Enterprise** | Knowledge retrieval across internal documents |

| **Legal & Compliance** | AI governance, compliance workflows, and audit-ready AI with full citation traceability |

| **Healthcare** | Clinical document intelligence and research |

| **Finance** | Multi-document analysis and cross-entity reasoning |

| **Public Sector** | Policy document management with auditability |

| **Research** | Multi-document analysis using multi-hop reasoning |

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## How It Works

• **Deploy** the container in your AWS environment via ECS or EKS
• **Ingest** documents - knowledge graph and vector embeddings build automatically
• **Query** via REST API or connect to your preferred AI framework
• **Retrieve** answers with citations and full reasoning paths

> Watch the full setup walkthrough:

> [https://www.youtube.com/watch?v=JhXqYwpJHlE](https://www.youtube.com/watch?v=JhXqYwpJHlE)

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## Deployment Instructions

### Step 1 - Launch the Container

• Subscribe to the product in AWS Marketplace
• Deploy using **Amazon ECS** or **Amazon EKS**
• Ensure **port 8080** is open in your security group

### Step 2 - Access the Application

• Obtain the public IP or load balancer URL after deployment
• Navigate to the application on port 8080

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## Amazon Bedrock and Other AI Integrations

Verbis Graph PRO can integrate with Amazon Bedrock Agents and supported Amazon Bedrock models, but Bedrock is not required. Organizations can use Verbis with other supported models and AI frameworks according to their architecture and governance requirements.

## All-Inclusive PRO Pricing

Verbis Graph PRO is offered on an all-inclusive commercial basis. When Amazon Bedrock is selected as part of the agreed Verbis configuration, the associated Bedrock model usage is included in the PRO solution price. Bedrock remains optional, so customers can also choose another supported model configuration.

## AI Governance and Compliance Workflows

Support AI governance and compliance workflows with private deployment, source citations, explainable retrieval paths, and control over where enterprise documents are processed.