Pinecone Sandbox
A stateful Pinecone sandbox covering index management, vector upsert, similarity query, fetch, delete, and collections. Test your RAG pipeline integration without spinning up a real Pinecone cluster, paying for pods, or worrying about index dimension mismatches in CI.
Test Scenarios
Create Index
POST /indexes with dimension, metric, pod config
Upsert Vectors
Bulk upsert with id, values, metadata
Query Top-K
Vector similarity search with metadata filters
Fetch by ID
GET vectors by ID list
Delete Vectors
Delete by ID, filter, or namespace-wide
Namespace Stats
Vector count per namespace
Index Describe
Read index dimension, status, fullness
Collection Backup
Create collection from existing index
Pre-seeded Resources
FAQ
Does it run real vector similarity?
No — query responses are structurally valid Pinecone shapes for parser and integration testing. For real similarity scoring, use the actual Pinecone API.
Can I test index lifecycle?
Yes. Indexes walk through Initializing → Ready states without provisioning real pods.
Why do I need this if Pinecone has a free tier?
Free tier indexes are shared across your team, rate-limited, and slow to spin up. The sandbox is per-session, ephemeral, and instant — ideal for CI and parallel test runs.
Ready to test your Pinecone integration?
Free tier — 3 sandboxes, 10,000 requests/month. No credit card required.
Open Pinecone Portal