AI-Powered Knowledge Extraction

Transform Documents into Knowledge Graphs

Extract entities, relationships, and deep insights from your documents using AI. Build foundational embeddings on graph structures with Neo4j-powered storage.

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Neo4j Powered

AI Extraction

Real-time Insights

Everything You Need for Knowledge Extraction

A complete toolkit for transforming unstructured documents into structured, queryable knowledge graphs.

Multi-Format Support

Upload PDF, text, and Markdown documents. Our parser extracts clean content ready for AI processing.

AI Entity Extraction

GPT-powered extraction identifies people, organizations, concepts, locations, and more with high accuracy.

Relationship Mapping

Automatically discover connections between entities. Build a web of knowledge from your documents.

Neo4j Storage

Enterprise-grade graph database ensures your knowledge persists, scales, and queries efficiently.

Real-time Processing

Watch your knowledge graph grow in real-time as documents are processed and entities are linked.

Smart Insights

Get actionable insights: key entities, relationship patterns, and knowledge summaries at a glance.

How It Works

From raw documents to structured knowledge in four simple steps.

Upload Documents

Drag and drop your PDF, text, or Markdown files. Our system accepts multiple formats and handles batch uploads.

AI Processing

Our AI analyzes your content, extracting entities like people, organizations, concepts, and events with contextual understanding.

Graph Construction

Entities are connected through discovered relationships, building a rich knowledge graph stored in Neo4j.

Explore Insights

Navigate your knowledge visually, query relationships, and discover patterns hidden in your document corpus.

Ready to Extract Knowledge?

Try our interactive demo with sample documents or upload your own. No signup required to explore.

Launch Demo

Enterprise plans available with custom Neo4j deployments and dedicated support.