Waymark / Routes / docs.pinecone.io Model Pinecone serverless namespace-per-tenant cost and route queries to the correct namespace
domain: docs.pinecone.io · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed
Verified steps Create a serverless index in your chosen cloud/region; namespaces are created implicitly on first upsert — no separate creation call needed Upsert vectors with a per-tenant namespace value: client.upsert(vectors=[...], namespace='tenant_<id>') Query with the namespace parameter set to the target tenant: client.query(vector=[...], namespace='tenant_<id>', top_k=10) Model read cost: querying a namespace costs 1 RU per GB of that namespace's data, so a 500 MB tenant namespace costs 0.5 RU per query Keep a tenant registry (e.g. in a relational DB) mapping tenant IDs to namespace names to avoid cross-tenant scans Monitor namespace sizes via the describeIndexStats response, which returns per-namespace vector counts and dimensionality Known gotchas You can only query one namespace per request; cross-namespace search requires multiple requests and client-side merging Deleting all vectors from a namespace does not delete the namespace itself; use deleteAll=true scoped to the namespace to clean it up Serverless indexes do not support pod-level capacity planning — cost scales with data volume and query count, not pre-provisioned pods
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