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Pinecone

With its vector database at the core, Pinecone is the leading knowledge platform for building accurate, secure, and scalable AI applications. The Pinecone APIs cover Database (vector storage and search), Inference (embeddings and reranking), Assistant (RAG over documents), and Admin (organization and project management).

6 APIs 16 Features
Vector DatabasesAIEmbeddingsRAG

APIs

Pinecone Database Control API

Use the Database Control API to manage indexes, collections, and backups in Pinecone Database. The control plane handles lifecycle and configuration of vector storage resources.

Pinecone Database Data API

Use the Database Data API to upsert, query, fetch, update, and delete vector records in Pinecone indexes. The data plane is the high-throughput interface for real-time vector se...

Pinecone Inference API

Use the Inference API to generate vector embeddings and rerank results using models hosted on Pinecone's infrastructure.

Pinecone Assistant Control API

Use the Assistant Control API to create and manage Pinecone Assistants for retrieval-augmented generation (RAG) over your documents.

Pinecone Assistant Data API

Use the Assistant Data API to upload documents to a Pinecone Assistant, ask questions, and receive responses grounded in those documents.

Pinecone Admin API

Use the Admin API to manage Pinecone organizations, projects, API keys, and service accounts at the platform level.

Features

Starter free: 2 GB, 2M writes, 1M reads
Builder at $20/mo flat: 10 GB, 5M writes, 2M reads
Standard $50/mo min: $0.33/GB, $4-$4.50/M writes, $16-$18/M reads
Enterprise $500/mo min: $6-$6.75/M writes, $24-$27/M reads, 99.95% SLA
Serverless indexes (auto-scaling)
Pod-based (legacy) for reserved capacity
REST and gRPC APIs
OpenAPI spec available
Hybrid search (dense + sparse vectors)
Namespaces for multi-tenancy
Bulk import from S3/GCS/Azure
Up to 1,000 vectors per upsert request
Dedicated Read Nodes for QPS isolation
Backup/restore on Standard+
SAML SSO and audit logs (Enterprise)
Inference API for embeddings + reranking

Resources

🔗
LinkedIn
LinkedIn
🔗
Website
Website
💰
Pricing
Pricing
📰
Blog
Blog
📰
Newsroom
Newsroom
🔗
Documentation
Documentation
🚀
GettingStarted
GettingStarted
🔗
Glossary
Glossary
💻
Examples
Examples
📄
ChangeLog
ChangeLog
🟢
StatusPage
StatusPage
🔗
Login
Login
🔗
Security
Security
📜
TermsOfService
TermsOfService
📜
PrivacyPolicy
PrivacyPolicy
📦
SDKs
SDKs
🔗
Repository
Repository
🔗
LLMsTxt
LLMsTxt

Sources

Raw ↑
aid: pinecone
name: Pinecone
description: With its vector database at the core, Pinecone is the leading knowledge platform for building accurate, secure,
  and scalable AI applications. The Pinecone APIs cover Database (vector storage and search), Inference (embeddings and reranking),
  Assistant (RAG over documents), and Admin (organization and project management).
kind: contract
position: Consumer
access: 3rd-Party
image: https://kinlane-productions2.s3.amazonaws.com/apis-json-icons/introduction-pinecone-docs.png
tags:
- Vector Databases
- AI
- Embeddings
- RAG
created: '2024-07-02'
modified: '2026-05-19'
url: https://raw.githubusercontent.com/api-evangelist/pinecone/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
- aid: pinecone:pinecone-database-control
  name: Pinecone Database Control API
  description: Use the Database Control API to manage indexes, collections, and backups in Pinecone Database. The control
    plane handles lifecycle and configuration of vector storage resources.
  humanURL: https://docs.pinecone.io/reference/api/introduction
  baseURL: https://api.pinecone.io
  tags:
  - Vector Databases
  - Indexes
  - Control Plane
  properties:
  - type: Documentation
    url: https://docs.pinecone.io/reference/api/introduction
  - type: OpenAPI
    url: https://raw.githubusercontent.com/api-evangelist/pinecone/refs/heads/main/openapi/pinecone-db-control-openapi.yaml
  - type: NaftikoCapability
    url: capabilities/db-control-manage-indexes.yaml
- aid: pinecone:pinecone-database-data
  name: Pinecone Database Data API
  description: Use the Database Data API to upsert, query, fetch, update, and delete vector records in Pinecone indexes. The
    data plane is the high-throughput interface for real-time vector search.
  humanURL: https://docs.pinecone.io/reference/api/introduction
  baseURL: https://{index_host}
  tags:
  - Vector Databases
  - Vectors
  - Data Plane
  properties:
  - type: Documentation
    url: https://docs.pinecone.io/reference/api/introduction
  - type: OpenAPI
    url: https://raw.githubusercontent.com/api-evangelist/pinecone/refs/heads/main/openapi/pinecone-db-data-openapi.yaml
  - type: NaftikoCapability
    url: capabilities/db-data-bulk-operations.yaml
  - type: NaftikoCapability
    url: capabilities/db-data-namespace-operations.yaml
  - type: NaftikoCapability
    url: capabilities/db-data-vector-operations.yaml
- aid: pinecone:pinecone-inference
  name: Pinecone Inference API
  description: Use the Inference API to generate vector embeddings and rerank results using models hosted on Pinecone's infrastructure.
  humanURL: https://docs.pinecone.io/reference/api/introduction#inference-api
  baseURL: https://api.pinecone.io
  tags:
  - Embeddings
  - Reranking
  - AI
  properties:
  - type: Documentation
    url: https://docs.pinecone.io/reference/api/introduction#inference-api
  - type: OpenAPI
    url: https://raw.githubusercontent.com/api-evangelist/pinecone/refs/heads/main/openapi/pinecone-inference-openapi.yaml
  - type: NaftikoCapability
    url: capabilities/inference-inference.yaml
- aid: pinecone:pinecone-assistant-control
  name: Pinecone Assistant Control API
  description: Use the Assistant Control API to create and manage Pinecone Assistants for retrieval-augmented generation (RAG)
    over your documents.
  humanURL: https://docs.pinecone.io/reference/api/introduction#assistant-api
  baseURL: https://api.pinecone.io
  tags:
  - Assistants
  - RAG
  - Control Plane
  properties:
  - type: Documentation
    url: https://docs.pinecone.io/reference/api/introduction#assistant-api
  - type: OpenAPI
    url: https://raw.githubusercontent.com/api-evangelist/pinecone/refs/heads/main/openapi/pinecone-assistant-control-openapi.yaml
  - type: NaftikoCapability
    url: capabilities/assistant-control-manage-assistants.yaml
- aid: pinecone:pinecone-assistant-data
  name: Pinecone Assistant Data API
  description: Use the Assistant Data API to upload documents to a Pinecone Assistant, ask questions, and receive responses
    grounded in those documents.
  humanURL: https://docs.pinecone.io/reference/api/introduction#assistant-api
  baseURL: https://prod-1-data.ke.pinecone.io
  tags:
  - Assistants
  - RAG
  - Data Plane
  properties:
  - type: Documentation
    url: https://docs.pinecone.io/reference/api/introduction#assistant-api
  - type: OpenAPI
    url: https://raw.githubusercontent.com/api-evangelist/pinecone/refs/heads/main/openapi/pinecone-assistant-data-openapi.yaml
  - type: NaftikoCapability
    url: capabilities/assistant-data-manage-assistants.yaml
- aid: pinecone:pinecone-admin
  name: Pinecone Admin API
  description: Use the Admin API to manage Pinecone organizations, projects, API keys, and service accounts at the platform
    level.
  humanURL: https://docs.pinecone.io/reference/api/introduction
  baseURL: https://api.pinecone.io
  tags:
  - Admin
  - Organizations
  - Projects
  properties:
  - type: Documentation
    url: https://docs.pinecone.io/reference/api/introduction
  - type: OpenAPI
    url: https://raw.githubusercontent.com/api-evangelist/pinecone/refs/heads/main/openapi/pinecone-admin-openapi.yaml
  - type: NaftikoCapability
    url: capabilities/admin-api-keys.yaml
  - type: NaftikoCapability
    url: capabilities/admin-organizations.yaml
  - type: NaftikoCapability
    url: capabilities/admin-projects.yaml
common:
- type: LinkedIn
  url: https://www.linkedin.com/company/pinecone-io
- type: Website
  url: https://www.pinecone.io/
- type: Pricing
  url: https://www.pinecone.io/pricing/
- type: Blog
  url: https://www.pinecone.io/blog/
- type: Newsroom
  url: https://www.pinecone.io/newsroom/news/
- type: Documentation
  url: https://docs.pinecone.io/guides/get-started/overview
- type: GettingStarted
  url: https://docs.pinecone.io/guides/get-started/overview
- type: Features
  url: https://docs.pinecone.io/guides/get-started/key-features
  data:
  - 'Starter free: 2 GB, 2M writes, 1M reads'
  - 'Builder at $20/mo flat: 10 GB, 5M writes, 2M reads'
  - 'Standard $50/mo min: $0.33/GB, $4-$4.50/M writes, $16-$18/M reads'
  - 'Enterprise $500/mo min: $6-$6.75/M writes, $24-$27/M reads, 99.95% SLA'
  - Serverless indexes (auto-scaling)
  - Pod-based (legacy) for reserved capacity
  - REST and gRPC APIs
  - OpenAPI spec available
  - Hybrid search (dense + sparse vectors)
  - Namespaces for multi-tenancy
  - Bulk import from S3/GCS/Azure
  - Up to 1,000 vectors per upsert request
  - Dedicated Read Nodes for QPS isolation
  - Backup/restore on Standard+
  - SAML SSO and audit logs (Enterprise)
  - Inference API for embeddings + reranking
  sources:
  - https://www.pinecone.io/pricing/
  updated: '2026-05-04'
- type: Glossary
  url: https://docs.pinecone.io/guides/get-started/glossary
- type: Examples
  url: https://docs.pinecone.io/examples/notebooks
- type: Integrations
  url: https://docs.pinecone.io/integrations/overview
- type: ChangeLog
  url: https://docs.pinecone.io/release-notes/2024
- type: StatusPage
  url: https://status.pinecone.io/
- type: Login
  url: https://app.pinecone.io
- type: Security
  url: https://www.pinecone.io/security/
- type: TermsOfService
  url: https://www.pinecone.io/legal/
- type: PrivacyPolicy
  url: https://www.pinecone.io/privacy/
- type: SDKs
  url: https://docs.pinecone.io/reference/pinecone-sdks
- type: Repository
  url: https://github.com/pinecone-io/pinecone-api
- type: LLMsTxt
  url: https://docs.pinecone.io/llms.txt
integrations:
- name: Agent Skills
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com