Self-hosted semantic product search with live dropdown results, using a vector database deployed via Docker Compose.
Verified Technical SpecificationGraphQL API
Magento 2 AI Image Search by Webkul
Lets shoppers find products by uploading a photo; AI embeddings match it against the catalog, with admin control over match threshold, result count and vector index settings.
Technical Architecture & Compatibility
Pricing$249
One-time License
Headless & APIGraphQL API Ready
Supports headless PWA storefronts
Supported Editions2.0.x-2.4.x; 4.0.4: 2.4.9; 4.0.2: 2.4.8; 4.0.1: 2.4.7+
Open Source & Adobe Commerce
Latest Versionv4.0.4
Verified releaseFeatures & Capabilities
•Customers search products by uploading an image
•Image search in the search bar and advanced search
•Product search through the GraphQL product API
•Admin sets number of results shown
•Minimum image score as match-confidence threshold
•Choice of pre-configured model or MobileNetV3 for embeddings
•Configurable AI model dimension (vector size)
•Image cropping during upload
•Embedding profiler for all or pending products
•Adjustable HNSW index settings (M, EF Construction)
•Delete vector storage index
•Supports JPG, JPEG, PNG and GIF
•Cloud models Gemini, Voyage and OpenRouter
•ChromaDB, OpenSearch and Elasticsearch 8 support
•Async embedding generation via queue
About the Developer
Webkul
India-based software company selling a very large catalog of ecommerce add-ons across many platforms, with a Magento 2 range centred on its multi-vendor marketplace, mobile apps, POS and connectors.
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