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Pinecone

Official

Vector Database / AI Infrastructure

Product site ↗Agent docs ↗

Agent Interface

REST APIgRPC APIPython/Node SDKsMCP Server (community)

What an agent can do

  • ✓Create, manage, and delete vector indexes
  • ✓Upsert, query, and delete vectors with metadata filtering
  • ✓Perform hybrid search (dense + sparse vectors)
  • ✓Manage namespaces for multi-tenant isolation
  • ✓List and describe index statistics
  • ✓Fetch vectors by ID for inspection

What it can't do

  • ✗Generate embeddings (bring your own from OpenAI, Cohere, etc.)
  • ✗Run SQL-like queries on metadata (filter syntax only)
  • ✗Access index configuration parameters after creation
  • ✗Export full index data to file (must paginate through list+fetch)
  • ✗Modify account or billing settings via API

Auth Model

API Key (environment-scoped)

Builder Notes

Purpose-built vector DB for agent memory and RAG pipelines. Serverless indexes auto-scale. Metadata filtering enables hybrid retrieval. gRPC API offers lower latency for high-throughput agent workloads. Free tier: 1 index, 100K vectors.

Sources

  • https://docs.pinecone.io/reference/api/introduction
  • https://docs.pinecone.io/guides/get-started/overview
  • https://docs.pinecone.io/guides/data/upsert-data

Last verified: 2026-03-15

Category
Vector Database / AI Infrastructure
Maturity
Official
Agent Interface
REST API, gRPC API, Python/Node SDKs, MCP Server (community)
Auth Model
API Key (environment-scoped)
Last Verified
2026-03-15
Key Capabilities
Create, manage, and delete vector indexesUpsert, query, and delete vectors with metadata filteringPerform hybrid search (dense + sparse vectors)Manage namespaces for multi-tenant isolationList and describe index statistics
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