Eval directory
Evals for Hebbia
2 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Hebbia AI products.
About Hebbia
Hebbia is an AI platform that enables knowledge workers — primarily in finance and law — to perform complex research and analysis over large corpora of documents. Its retrieval and synthesis capabilities go beyond keyword search to reason across entire document sets.
Available eval packs for Hebbia
2 packs ready to run.
Why eval Hebbia AI
Hebbia's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for Hebbia measures four dimensions teams care about most when deploying search & knowledge agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against Hebbia's public product surface and runnable in Corsac with your own data.