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    Image Similarity Search Pipeline

    Deploy a visual search engine that finds similar images using state-of-the-art embedding models. Perfect for product catalogs, stock photo libraries, and visual discovery.

    image
    Single Tier
    4.5K runs
    Deploy Recipe
    from mixpeek import Mixpeek
    client = Mixpeek(api_key="YOUR_API_KEY")
    # 1. Create collection with image embeddings
    namespace = client.namespaces.create(name="image-search")
    collection = client.collections.create(
    namespace_id=namespace.id,
    name="products",
    extractors=["image-embedding-v2"]
    )
    # 2. Upload images
    client.buckets.upload(
    collection_id=collection.id,
    url="s3://your-bucket/product-images/"
    )
    # 3. Search by text or image
    results = client.retrievers.execute(
    retriever_id=retriever.id,
    query="red leather handbag with gold hardware"
    )

    Feature Extractors

    Retriever Stages

    Use Cases Using This Recipe

    Beginner

    Visual Product Search for E-commerce

    Let shoppers find products by uploading a photo instead of typing keywords

    +30% for visual search queries

    Search-to-cart conversion rate

    Who It's For

    E-commerce platforms, online retailers, and marketplace operators managing catalogs of 50K+ SKUs who want to offer camera-based product discovery

    Beginner

    Visual Search for Retail

    Bridge the gap between in-store inspiration and online purchase

    +35% higher than text search

    In-app visual search conversion

    Who It's For

    Omnichannel retailers, retail apps, and brands with physical and digital presence looking to connect in-store browsing with online purchasing

    Beginner

    Fashion Visual Product Discovery

    Search for fashion by style, not just by name or brand

    3x more products viewed per session

    Product discovery engagement

    Who It's For

    Fashion e-commerce platforms, apparel retailers, and personal styling services managing catalogs of 100K+ products where visual style drives purchase decisions