Connect to Pinecone

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Create a Pinecone Data Source

• Pinecone API key

1. From the navigation pane, click Data > Data Sources.
2. Click Create a Data Source.
3. In the New Data Source window, from Select Data Store, select Pinecone.
4. Provide the Pinecone API Key for your Pinecone database.
5. Create a Data Source Name and an optional Description.

1. Click Test Credentials.
2. Confirm that the Data Source authenticates.
3. Select who can view and use the Data Source in Projects.

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Use the Pinecone Data Source

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Install the Pinecone Python library and Domino Data SDK

USER root

RUN python -m pip install pinecone-client

RUN python -m pip install dominodatalab-data=={x.y.z}

USER ubuntu

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Configure the Pinecone Python client

1. Add the Pinecone Data Source to your Project.
2. In your Workspace, go to Data > Data Sources > Code snippet > Python.
3. Copy the code snippet, paste it into your code, and modify it as needed.

• The code snippet for pinecone-client>=3.0.0:
  from domino_data.vectordb import domino_pinecone3x_init_params, domino_pinecone3x_index_params
  from pinecone import Pinecone
  
  datasource_name = "pinecone"
  pc = Pinecone(**domino_pinecone3x_init_params(datasource_name))
  print(pc.list_indexes())
  
  # Replace the place holder {{index_name}} below with the index name.
  index_name = "{{index_name}}"
  index = pc.Index(**domino_pinecone3x_index_params(datasource_name, index_name))
  print(index.describe_index_stats())
  
  # More Pinecone Python library-supported operations can be found at https://docs.pinecone.io/docs/python-client
  # gRPC client is currently not supported.
  

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Next steps

• After connecting to your Data Source, learn how to Use Data Sources.
• Share this Data Source with your collaborators.