Reverse Image Search

Build a reverse image search engine that accepts an image as input and returns visually similar results from your indexed collection. Uses multimodal embeddings to match visual features like color, shape, composition, and semantic content.

image

Single Tier

4.2K runs

Run in Builder

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

# Create a collection with image embeddings
collection = client.collections.create(
    namespace_id="ns_your_namespace",
    name="product_images",
    extractors=["multimodal-extractor"]
)

# Upload your image catalog
client.buckets.upload(
    bucket_id="bkt_your_bucket",
    url="s3://your-bucket/images/"
)

# Reverse image search: query with an image URL
results = client.retrievers.execute(
    retriever_id="ret_your_retriever",
    query={"image_url": "https://example.com/query-photo.jpg"}
)

for doc in results["documents"]:
    print(f"Match: {doc['document_id']} (score: {doc['score']:.3f})")

Feature Extractors

Retriever Stages

mmr

Reorder results using Maximal Marginal Relevance for diversity

sort

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