Knowledge Graphs & Semantic Search
See and search the relationships in your data.
Voxagraph makes the relationships in your data visible and queryable. Model entities and connections as a knowledge graph, then explore them visually or in plain language. Semantic search finds what you mean rather than just matching keywords, a shared business glossary keeps every metric consistent, and document intelligence grounds answers in your own uploaded PDFs and reference material.
What you get
Knowledge graphs
Model and explore complex relationships as connected, visual graphs.
Semantic search
Find what you mean, not just what you type — search by intent.
Business glossary
A shared dictionary of terms keeps every metric consistent.
Semantic governance
Align fields, definitions, and meaning across all your data.
Document intelligence
Ground answers in your own policy and reference documents.
Common use cases
- ▸Map customer, product, and org relationships visually
- ▸Find related records and documents by meaning, not exact words
- ▸Standardize metric definitions across teams with a glossary
- ▸Answer questions grounded in your own policy documents
Frequently asked questions
What is a knowledge graph?
A knowledge graph models data as entities and the relationships between them, making complex connections easy to explore visually and query. Voxagraph builds and visualizes knowledge graphs from your connected data.
How is semantic search different from keyword search?
Semantic search understands intent and meaning, so it surfaces the most relevant records, documents, and relationships even when the exact words don't match.