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Pinecone is a managed vector database service that provides high-performance similarity search. It is available as a community-maintained adapter for Cognee.
Cognee can use Pinecone as a vector store backend through this community-maintained adapter.

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Installation

This adapter is a separate package from core Cognee. Before installing, complete the Cognee installation and ensure your environment is configured with LLM and embedding providers. After that, install the adapter package: 
pip install cognee-community-vector-adapter-pinecone

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Registration

Unlike built-in providers, community adapters must be explicitly registered at the start of your script before calling any Cognee functions. This registers Pinecone in Cognee’s list of known vector database providers: 
from cognee_community_vector_adapter_pinecone import register

register()
If you skip this step, Cognee will not recognize pinecone as a valid provider and will raise a runtime error even if the package is installed.

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Configuration

Get your API key from the Pinecone console and configure Cognee to use it. 
from cognee_community_vector_adapter_pinecone import register
from cognee import config

# Must register before configuring or using Cognee
register()

config.set_vector_db_config({
    "vector_db_provider": "pinecone",
    "vector_db_url": "https://your-index-host.pinecone.io",
    "vector_db_key": "your_pinecone_api_key",
})

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Important Notes

Pinecone is not bundled with the default Cognee package. You must install and register the community adapter before configuring VECTOR_DB_PROVIDER=pinecone.
The register() call must happen before any Cognee vector operations in each process. It is not persisted — you cannot register once and skip it on subsequent runs. Add it at the top of your entry-point script or application startup code.
If you set VECTOR_DB_PROVIDER=pinecone before installing and registering the adapter, Cognee will raise this runtime error:
EnvironmentError: Unsupported vector database provider: pinecone
Complete the installation and registration steps above before configuring Pinecone.
Ensure EMBEDDING_DIMENSIONS matches the dimensions configured in your Pinecone index. A mismatch will cause errors when upserting vectors.See Embedding Providers for configuration details.

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Resources

Adapter Source

GitHub repository

Pinecone Docs

Official Pinecone documentation

Vector Stores

Official vector providers

Community Overview

All community integrations

Setup Overview

Configuration guide