Pinecone questions are easy to answer from stale memory, especially since pod-based indexes were replaced by the serverless architecture. Use this skill to ground answers in the official Pinecone documentation and return the closest authoritative page instead of generic vector-search advice.

When to Use

Use this skill when the request is about:

Pinecone concepts: organizations, projects, serverless indexes, namespaces, and records
Creating and configuring serverless indexes (dense, sparse/BM25, or integrated-embedding indexes)
Upserting, querying, updating, deleting, or fetching records
Namespaces for multitenancy and data isolation
Metadata filtering, hybrid search, and reranking search results
Bulk import from object storage, backups, and restoring indexes
Pinecone Assistant for retrieval-augmented generation
SDKs (Python, Node.js, Java, Go) and the REST API reference
Authentication, API keys, limits, quotas, and billing plans
Performance: reducing latency, increasing throughput, and managing cost

Do not use this skill for:

pinecone-docs

When to Use