# Amazon Product Vector Database

    This dataset contains vector embeddings for Amazon products, including both text and image embeddings.

    ## Contents
    - `embeddings.parquet`: Contains text embeddings, image embeddings, and metadata for all products

    ## Usage
    ```python
    import pandas as pd
    from datasets import load_dataset

    # Load the dataset
    dataset = load_dataset("chen196473/amazon_vector_database")
    
    # Read the data
    df = pd.read_parquet("embeddings.parquet")
    
    # Extract embeddings
    text_embeddings = df[[col for col in df.columns if col.startswith('text_embedding_')]].values
    image_embeddings = df[[col for col in df.columns if col.startswith('image_embedding_')]].values
    ```