Eval directory
Evals for Pinecone
8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Pinecone AI products.
About Pinecone
Pinecone is a managed vector database for AI applications — serverless and pod-based indexes, namespaces for multi-tenant isolation, hybrid sparse-dense search, integrated inference (embed + rerank), and Pinecone Assistant for retrieval-augmented generation with citations.
Available eval packs for Pinecone
8 packs ready to run.
Auth Quotas Safety And Governance
Pinecone evals — Auth, Quotas, Safety & Governance (relift v3 InfraRed)
Hybrid Search Sparse Dense
Pinecone evals — Hybrid Search (Sparse-Dense) (relift v3 InfraRed)
Index Management
Pinecone evals — Index Management (relift v3 InfraRed)
Integrated Inference Embed And Rerank
Pinecone evals — Integrated Inference / Embed & Rerank (relift v3 InfraRed)
Namespaces And Multitenant Isolation
Pinecone evals — Namespaces & Multi-tenant Isolation (relift v3 InfraRed)
Pinecone Assistant
Pinecone evals — Pinecone Assistant (relift v3 InfraRed)
Query And Filtering
Pinecone evals — Query & Filtering (relift v3 InfraRed)
Upsert And Updates
Pinecone evals — Upsert & Updates (relift v3 InfraRed)
Why eval Pinecone AI
Pinecone'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 Pinecone measures four dimensions teams care about most when deploying ai platform 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 Pinecone's public product surface and runnable in Corsac with your own data.