Moongraph

Moongraph transforms your documents into structured, queryable knowledge graphs. Upload documents, extract entities and relationships, and explore connections you didn't know existed.

What Moongraph Does

1. Ingest documents — PDFs, images, and text files are parsed, chunked, and embedded for semantic understanding
2. Extract knowledge — Entities (e.g., people, organizations, locations, events) and the relationships between them (e.g., works_for, located_at) are extracted from your documents
3. Build graphs — Connections across documents are merged into a unified knowledge graph
4. Enable exploration — Visualize networks, ask questions with cited answers, investigate relationships

The Core Workflow

Most research tools find keywords. Moongraph finds connections.

When you upload a document mentioning "John Smith works at Acme Corp," Moongraph creates:

• An entity for John Smith (Person)
• An entity for Acme Corp (Organization)
• A relationship: works at

When another document mentions "J. Smith, Acme employee" — Moongraph recognizes this is the same person and merges them. This is entity resolution, and it's one of the hardest problems in knowledge extraction.

The result: a unified knowledge graph that spans your entire document collection.

Alpha Program

You're using Moongraph as an alpha tester. This means:

• Some features are stale — Search and Workflows haven't been updated recently and may not work as expected
• Your feedback shapes the product — Tell us what's confusing, what's missing, what's broken
• Direct line to the team — Reach out at cole@moongraph.io

Next Steps