Unable to create a vector store in astradb

[ayushk-singh]

I am trying to create a vector store in astra db using csv file and getting this error

Error building Component Astra DB: Error adding documents to AstraDBVectorStore: Unable to vectorize data, embedding service not configured for the collection : data

This is my data

post_id,type,likes,shares,comments
1,Static,120,35,15
2,Carousel,245,52,30
3,Reel,80,22,8
4,Static,180,65,25
5,Carousel,95,18,12
6,Reel,300,75,50
7,Static,150,40,20
8,Reel,65,14,5
9,Carousel,110,28,18
10,Reel,350,90,60

[dosubot[bot]]

To resolve the error "Unable to vectorize data, embedding service not configured for the collection" when creating a vector store in Astra DB, you need to ensure that the embedding service is properly configured. Here are the steps to configure it:

1. Embedding Service Configuration: Ensure that the embedding input is set correctly. You have two options: "Embedding Model" or "Astra Vectorize". If you choose "Astra Vectorize", you need to configure the provider and model name.

2. Provider and Model Configuration: If "Astra Vectorize" is selected, specify a provider and a model name. This can be done by setting the provider and z_00_model_name fields. The VECTORIZE_PROVIDERS_MAPPING dictionary provides a list of available providers and models ^[1].

3. API Key and Authentication: Ensure that the necessary API keys and authentication parameters are set. This includes the z_02_api_key_name and z_03_provider_api_key if required by the provider. The z_04_authentication field can also be used to provide additional authentication parameters.

4. Check Vectorize Options: Use the build_vectorize_options method to ensure all necessary options are set for vectorization. This method constructs the options needed for the vectorization process ^[1].

Here's a code snippet to guide you through setting up the vectorization options:

# Example setup for vectorization
vectorize_options = {
    "collection_vector_service_options": {
        "provider": "OpenAI",  # Example provider
        "modelName": "text-embedding-ada-002",  # Example model
        "authentication": {
            "providerKey": "your_api_key_name",  # Set your API key name if needed
        },
        "parameters": {},  # Additional parameters if required
    },
    "collection_embedding_api_key": "your_provider_api_key",  # Set your provider API key if needed
}

# Ensure the vector store is built with these options
vector_store = AstraVectorStoreComponent().build_vector_store(vectorize_options=vectorize_options)

Make sure to replace "OpenAI" and "text-embedding-ada-002" with the actual provider and model you intend to use, and provide the necessary API key and authentication details. Additionally, ensure that the embedding is set to "Astra Vectorize" if you are using Astra's vectorization service ^[1].

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