Verbis graph - graphrag knowledge retrieval engine with ontology layer

VERBIS GRRAPH is a GraphRAG-powered knowledge retrieval platform designed to help organizations access, connect, and reason over complex document collections and enterprise knowledge environments - available on AWS Marketplace & Microsfot Marketpalce

THE PROBLEM IT SOLVES Enterprise knowledge is fragmented across documents, reports, technical documentation, and internal knowledge bases. Traditional search returns isolated results. VERBIS GRAPH solves this by organizing documents into a unified graph-based knowledge layer that maps relationships between entities: enabling accurate retrieval, contextual understanding, ontology-aware and multi-hop reasoning; currently undergoing benchmark testing on the Cineca HPC infrastructure, making it fully ready for large-scale applications

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

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

BUILT FOR

• LEGAL/compliance teams requiring auditable AI outputs
• 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, & medical literature
• PHARMA / LIFE SCIENCES organizations accelerating drug research, clinical trial analysis, and regulatory submission workflows
• ENTERPRISE replacing manual search workflows with AI-powered, citation-grounded doc intelligence