VeritasGraph
Enterprise-Grade Graph RAG for Secure On-Premise AI with Verifiable Attribution.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is VeritasGraph?
VeritasGraph is an enterprise-grade graph-based Retrieval-Augmented Generation framework designed for secure, on-premise deployment. It ensures verifiable attribution and enhances the security of AI applications within a controlled environment.
Key differentiator
“VeritasGraph stands out as an on-premise solution with built-in security features and verifiable attribution, making it ideal for environments where data privacy and control are critical.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary development is in Python, with no official support for other languages
Documentation lacks clear step-by-step guides and assumes advanced system knowledge
Fit analysis
Who is it for?
✓ Best for
Teams needing a secure and verifiable RAG framework for on-premise deployment
Organizations with strict data security requirements that cannot rely on cloud services
Developers working in environments where data privacy is paramount
✕ Not a fit for
Projects requiring real-time, cloud-based AI services
Teams looking for a fully managed RAG service without the need to self-host
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with VeritasGraph
Step-by-step setup guide with code examples and common gotchas.