pinecone - Managed vector database for production RAG and search
Pinecone provides serverless vector database operations including index creation, vector upserting, similarity querying, metadata filtering, and hybrid search.
Tags
Updated: 2026-09-20Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Create vector indices
- Upsert vector data
- Query similar vectors
- Filter with metadata
- Perform hybrid search
- Manage index statistics
- Delete vector entries
Inputs
- Pinecone API key
- Vector embeddings
- Index parameters
- Metadata filter criteria
Outputs
- Vector search matches
- Index metadata statistics
- Deletion execution status
Requirements
- Python runtime
- pinecone package
- Linux, macOS, or Windows