chen196473/amazon_vector_database

# 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
```