This page helps you understand and resolve common Pinecone errors.

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Client connection errors

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Cannot import name Pinecone from pinecone

When using an older version of the Python client (earlier than 3.0.0), trying to import the Pinecone class raises the following error:
console
ImportError: cannot import name 'Pinecone' from 'pinecone'
Upgrade the client version and try again:
Shell
pip install pinecone-client --upgrade

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No attribute init

When using Python client version 3.0.0 and later, trying to initialize a client using pinecone.init(api_key='XXX, environment='XXX') raises the following error:
console
AttributeError: module 'pinecone' has no attribute 'init'
To initialize the client, import and use the Pinecone class instead:
Python
from pinecone import Pinecone

pc = Pinecone(api_key='XXX')

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Using an outdated client with a serverless index

Trying to connect to a serverless index with an outdated Pinecone client (earlier than 3.0.0 for Python, earlier than 2.0.0 for Node.js) will raise errors similar to one of the following:
console
Failed to resolve 'controller.us-west-2.pinecone.io'

controller.us-west-2-aws.pinecone.io not found

Request failed to reach Pinecone while calling https://controller.us-west-2.pinecone.io/actions/whoami

"whoami" controller is not reachable: https://controller.us-west-2-aws.pinecone.io/actions/whoami
To connect to a serverless index, upgrade to the latest Python or Node.js client and try again:
Shell
# Python
pip install pinecone-client --upgrade

# Node.js
npm install @pinecone-database/pinecone@latest

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Index creation errors

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Missing spec parameter

Using the new API, creating an index requires passing appropriate values into the spec parameter. Without this spec parameter, the create_index method raises the following error:
console
TypeError: Pinecone.create_index() missing 1 required positional argument: 'spec'
For guidance on how to set this parameter, see Create a serverless index and Create a pod-based index.

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Project contains max serverless indexes

Each project is limited to 20 serverless indexes. Trying to create more than 20 serverless indexes in a project raises the following 403 (FORBIDDEN) error:
console
This project already contains 20 serverless indexes, the maximum per project. 
Delete any unused indexes and try again, or create a new project for more serverless indexes. 
For additional help, please contact support@pinecone.io.
Delete any unused serverless indexes in the project and try again, or create a new project to hold additional serverless indexes. Also consider using namespaces to partition vectors of the same dimensionality within a single index. Namespaces can help speed up queries as well as comply with multi-tenancy requirements.