One knowledge graph across your tickets, documents, and databases. Grounded answers — no hallucinations, no embedding store, no guesswork.
The full picture
The answer already exists in your organisation — trapped in three places that have never met.
Relationships extracted from your unstructured text at ingest time, traversed at query time. No embedding store. No cosine distance. Just graph proximity.
The answer is in your data. Trapped across systems that don't speak to each other.
— no shared schema · no common query —
Today it takes six steps, three tools, and a spreadsheet.
No data in the graph means no LLM call — a deterministic response, never an invention.
Tickets, documents, and databases live in the same graph. One hop touches all of them.
BM25 full-text on Neo4j replaces the entire vector pipeline. No re-index, no dimension mismatch.
Three data silos flow into one unified knowledge graph. Three retrieval modes flow out. One platform connects everything.
Structured
Documents
Relational
Knowledge Graph
Hybrid Search
Cypher
Agent
Three modes · One graph · Zero embeddings
Finds the right subgraph by keyword, then walks the relationships to build rich context. No embeddings, no cosine distance — just graph proximity and full-text relevance scored together.
Point it at a file, a URL, or a connection string. The graph builds itself.
Shared core nodes across every source — no duplicate entities, one unified schema.
Reads CSV headers, database foreign keys, and PDF structure automatically — no manual mapping needed.
Pulls Customer, Ticket, and Feature nodes from unstructured text using your configured ontology.
Relational foreign keys become traversable graph relationships — your existing schema becomes the graph.
Re-ingest anytime. Only changed nodes are updated; your graph stays current without a full rebuild.
unified into one graph
to your first answer
If there is no matching data in the graph, there is no LLM call. The system returns a deterministic empty-scope response — never a hallucination.
LLM-generated Cypher is validated as read-only before execution. The query path cannot write, delete, or mutate the graph — by architecture, not by trust.
Prompts, models, ontology layers, and retrieval parameters are live-tunable via the config store. Update them and they apply within seconds — no redeploy.
Credentials are used in-session and never persisted or logged. All data stays inside your infrastructure — nothing leaves unless you choose to send it.
No credit card required to get started.
Explore the full graph — free, forever.
Every mode, every source, for your whole team.
Dedicated infrastructure, compliance, and support.
pricing for your team size
All plans include self-hosted deployment. Data never leaves your infrastructure.