Roadmap & Vision

From structured warehouse graphs to the unified knowledge graph.

VioGraph isn't a point solution. It's a three-phase build toward the kind of enterprise knowledge graph that traditionally costs $50M+ to deploy — but cloud-native, warehouse-native, and open source.

Phase 1 — Today

Shipping

Structured: Graph OLAP on your warehouse

Ship graph analytics directly against Snowflake, BigQuery, Databricks, Starburst.

  • Zero ETL — warehouse data stays in place
  • Ephemeral compute — $0 idle cost
  • Cypher queries + AI natural-language assistant
  • Interactive dashboard with pattern library
  • Open source (Apache 2.0), deploys in your VPC

Phase 2 — 2026

In design

Unstructured: GraphRAG for documents

Extract entities and relationships from PDFs, email, Slack, Confluence — build a knowledge graph from unstructured content.

  • LLM-powered entity + relationship extraction
  • Hybrid vector + graph search
  • Citations back to source documents
  • Schema inference with human-in-loop validation
  • GraphRAG-as-a-service API for embedding in AI apps

Phase 3 — 2027

Vision

Unified: The enterprise knowledge graph

One query spans warehouse + documents — your full 360° customer / case / asset view, structured and unstructured fused.

  • Single query across structured + unstructured
  • Entity resolution linking warehouse rows to document mentions
  • Temporal graph — see how relationships evolve over time
  • Multi-engine query planner (OLAP vs operational)
  • The "Palantir-grade" knowledge graph, 1/10th the cost

Want to shape Phase 2?

We're looking for design partners in banking, insurance, pharma, and law — enterprises with large unstructured document estates who want to build a knowledge graph across them. Early partners get deep product influence and significantly favourable pricing.

Become a design partner