How to provide namespace value of pinecone index in azure open ai api payload

Question

where and how to specify the pinecone namespace value as each index can have more than one namespaces. it's not documented in https://learn.microsoft.com/en-us/azure/ai-services/openai/references/pinecone?tabs=python#deployment-name-vectorization-source

extra_body={ "data_sources": [ { "type": "pinecone", "parameters": {}}]}

Answer 1

Hi @Manjunath Murgod

You need to include the parameter within your operations to specify the Pinecone namespace value. Each index can have multiple namespaces, and you can partition your records accordingly. Here’s an example of how to define the namespace in your extra_body:

extra_body = {
    "data_sources": [
        {
            "type": "pinecone",
            "parameters": {
                "namespace": "your-namespace-pinecone-value"
            }
        }
    ]
}

A name uniquely identifies namespaces, and almost all operations accept this parameter to limit their work to the specified namespace. If you don’t specify a namespace, Pinecone uses the default namespace, which is an empty string "".

For more detailed information, refer to the Pinecone documentation in the link below on namespaces.

https://docs.pinecone.io/guides/indexes/use-namespaces

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