Verbis Graph - GraphRAG Knowledge Assistant (SaaS) Free Demo

VERBIS GRAPH GraphRAG Knowledge Assistant is a fully managed SaaS platform that enables professionals, researchers, and enterprise teams to interact with complex document collections using natural language powered by GraphRAG technology that combines vector search with knowledge graph traversal for citation backed, explainable AI answers. Unlike standard AI document chatbots that rely on basic vector similarity, VERBIS GRAPH builds a knowledge graph over your documents capturing relationships between entities, concepts, and sources across your entire corpus. This enables multi hop reasoning: answering complex questions that require connecting information from multiple documents simultaneously. THE PROBLEM IT SOLVES AI works well for general knowledge. But when organizations need answers from their own internal documents, standard AI solutions fall short in several 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 and traceability no way to verify where answers come from Hallucinations introduce errors that are difficult 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 that maps relationships between entities across your entire document corpus. This enables accurate retrieval, contextual understanding, and multi hop reasoning connecting information that lives in separate files, departments, or data sources. You can also explore the knowledge graph visualization to discover hidden relationships between entities, surface non obvious connections, and understand how concepts across your documents are linked giving you insight that no standard search or chatbot can provide. Organizations gain reliable answers, full citation traceability, and efficient use of computing resources all without writing a single line of code. KEY CAPABILITIES GraphRAG Hybrid Retrieval: Multi hop reasoning across entity relationships in your document corpus Citation Grounded Answers: Every response linked to exact source passages for full traceability Multilingual Support: Upload and query documents in any language Multi Format Ingestion: PDF, DOCX, TXT, CSV, and scanned documents No Code Interface: Upload, index, and query zero engineering required Knowledge Graph Visualization: Explore entity relationships across your document stack Amazon Bedrock Powered: Integrates natively with Claude, Llama, and Titan via Amazon Bedrock BUILT FOR Legal and compliance teams requiring auditable AI outputs and traceable reasoning paths Financial analysts working across multi document research and cross entity data analysis Healthcare professionals extracting insights from clinical documentation and medical literature Pharmaceutical and life sciences organizations accelerating regulatory submission workflows Public sector agencies managing policy documents with full auditability requirements Construction and engineering firms navigating complex technical specifications and compliance documentation Enterprise knowledge management teams replacing manual search workflows DEPLOYMENT VERBIS GRAPH is available as a fully managed SaaS no infrastructure setup, no container configuration, no DevOps required. Subscribe in AWS Marketplace, activate your account, and start uploading documents immediately. Built by Prodigy AI Solutions. Enterprise plans and custom deployments available by request. CONTACT us at support@verbisgraph.com