LLM Orchestration

VeritasGraph

Enterprise-Grade Graph RAG for Secure On-Premise AI with Verifiable Attribution.

Status
Generally available
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

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.

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.

When it fits — and when it doesn’t

A good fit 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

Look elsewhere if

  • Projects requiring real-time, cloud-based AI services

  • Teams looking for a fully managed RAG service without the need to self-host

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Complex setup process for on-premise deployment

    Documentation lacks clear step-by-step guides and assumes advanced system knowledge

What it does well

  • Secure on-premise deployment

  • Graph-based RAG framework

  • Verifiable attribution for AI applications

  • Enhanced security features

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up VeritasGraph

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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VeritasGraph — tracked on AI Navigator

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