Verbis Graph - GraphRAG Knowledge Retrieval Engine

VERBIS GRRAPH Engine is a GraphRAG-powered knowledge retrieval platform designed to help organizations access, connect, and reason over complex document collections and enterprise knowledge environments --- available both a fully managed SaaS and container based product on AWS Marketplaceand Microsfot Marketpalce.

THE PROBLEM IT SOLVES
Enterprise knowledge is fragmented across documents, reports, technical documentation, and internal knowledge bases. Traditional search returns isolated results. Standard RAG returns semantically similar passages. Neither connects the dots between entities across your corpus.

VERBIS GRAPH solves this by organizing documents into a unified graph-based knowledge layer that maps relationships between entities --- enabling accurate retrieval, contextual understanding, and multi-hop reasoning.

HOW IT WORKS
By combining semantic vector search with knowledge graph traversal, VERBIS GRAPH delivers context-aware retrieval across large document collections. When you ask a question that spans multiple documents or entities, VERBIS GRAPH traverses the relationships between them --- returning a synthesized, grounded answer rather than a list of passages.

Full Answer TRACEABILITY
Every response includes references to the exact document passages and sources used to construct the answer. This transparency enables result verification, builds trust in AI outputs, and supports compliance-sensitive environments where explainable AI is essential for audit and governance requirements.

KEY CAPABILITIES
-- Dramatically reduced AI hallucinations — responses grounded in trusted organizational content with source citations
-- Full answer traceability - verify exactly which passages contributed to each response
-- Multilingual Support: Interact with documents in any language
-- Multi-document reasoning via knowledge graph — answers complex queries spanning multiple files, entities, and relationships
-- Multi-Format Ingestion: PDF, DOCX, TXT, CSV, and scanned documents
-- No-Code Interface: Upload, index, and query — no engineering required
-- Framework integrations - LangChain, LlamaIndex, AutoGen, CrewAI, and Amazon Bedrock Agents
-- Intelligent Summarization: Compare, extract, and synthesize across your document stack
-- Knowledge Graph Visualization: Explore entity relationships in your corpus
-- Lower LLM operating costs — efficient VERBIS GRAPH retrieval reduces unnecessary token usage

BUILT FOR
-- LEGAL and compliance teams requiring auditable AI outputs and traceable reasoning paths across contracts, policies, and regulatory documentation
-- FINANCIAL analysts and capital markets teams working across multi-document research, earnings reports, and cross-entity data analysis
-- HEALTHCARE professionals extracting insights from clinical documentation, patient records, and medical literature
-- PHARMACEUTICAL and LIFE SCIENCES organizations accelerating drug research, clinical trial analysis, and regulatory submission workflows
-- PUBLIC sector agencies managing large knowledge repositories, policy documents, and cross-departmental information access with full auditability
-- ENTERPRISE replacing manual search workflows with AI-powered, citation-grounded document intelligence
-- CONSTRUCTION and engineering firms navigating technical specifications, project documentation, compliance requirements, and multi-site knowledge management

DEPLOYMENT
Verbis Graph is available as :

-- a fully managed SaaS — no infrastructure setup, no container configuration, and no DevOps required

-- container based product

Subscribe in AWS Marketplace or Microsoft Marketpalce, activate your account, and start uploading documents immediately. A free edition is available for evaluation and 1 month of proof-of-concept/pilot workloads before moving to a paid plan.

Built by Prodigy AI Solutions. Enterprise support and custom deployments available by request at support@verbisgraph.com

SUPPORT
For assistance with deployment, onboarding, scaling strategy, or custom solutions, contact: support@verbisgraph.com

Current development status

Commercially available technologies

Desired business relationship

Technology selling

Joint ventures

Technology development

New technology applications

Adaptation of technology to other markets