Verbis Free Demo - GraphRAG AI Document Processing & Knowledge Assistant

Verbis Graph is a fully managed SaaS platform that lets professionals, researchers, and enterprise teams query complex document collections using plain language.

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).

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.

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.

• 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

• 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

Build intelligent Q&A systems over internal documentation, policies, and procedures with cited, auditable answers.

Deploy accurate support chatbots grounded in your product knowledge base - answers designed to reduce hallucination risk.

Provide explainable, source-attributed AI responses for regulated workflows requiring auditability.

Enable researchers to query complex multi-document datasets using multi-hop reasoning across entities and relationships.

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 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.