RAG evaluation

Know when your RAG assistant has the right answer and evidence

Evaluate retrieval, groundedness, completeness, and citation accuracy before release. Then monitor real interactions to detect unsupported answers, weak retrieval, and knowledge gaps as your content and system evolve.

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All the tools you need to test the entire path from retrieval to response

Synthetic Datasets

Thousands of test cases and simulated conversations generated from our Simulation Engine or your own product specs and files.

Custom metrics

Define your own scorers, thresholds, and quality criteria, or just let the Galtea Simulation Engine build them automatically from your product specs.

Traces

Plug into the logs and traces you already collect, with no second instrumentation effort.

Versions

Re-run the same test suite automatically on every prompt, model, or pipeline change, so regressions get caught before they ship.

Human reviews

Send the hard or flagged cases to expert reviewers, and use their verdicts to sharpen how quality gets scored over time.

GitHub Actions

Run evaluations automatically on every pull request, so a quality or safety regression is blocked before it reaches production.

Monitors

Monitor your production traffic automatically, automatically surface patterns in production, and what's driving them, before your users feel it.

Evaluate sensitive calls without losing control of the data

ISO 27001 certified

Independently audited security controls across the full platform.

GDPR compliant

Data processing agreements, retention controls, and right-to-erasure built in.

Self-hosting & Private tenant

Deploy in your own cloud or VPC. Your data never leaves your infrastructure.

Premium support

A implementation plan tailored to your stack with a dedicated engineer team.

SSO & MFA

Single sign-on via your existing identity provider, with multi-factor authentication.

Service Level Agreement

Guaranteed response times with escalation paths for production incidents.

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Frequently asked questions

What can I evaluate in a RAG assistant?

Measure retrieval relevance, answer correctness, groundedness, citation quality, completeness, and unsafe or unsupported answers.

Can Galtea identify hallucinations?

Yes. Define evaluations for whether responses are supported by retrieved context and meet your accuracy standards.

Can I test changes to retrieval or chunking?

Yes. Compare retrieval pipelines, chunking strategies, embeddings, prompts, and models against the same test cases.

Can I monitor RAG quality after deployment?

Yes. Monitor live interactions and investigate whether retrieval or answer quality changes over time.

Know when your RAG assistant has the right answer and evidence

All the tools you need to test the entire path from retrieval to response

Evaluate and monitor RAG assistants where source accuracy matters most

Evaluate sensitive calls without losing control of the data

Frequently asked questions

Learn how teams in regulated industries evaluate RAG assistants with Galtea