Build a system that can handle “popular latest men’s blue shirts" with accuracy and speed
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From notebook to production in a week with a single declarative framework
Supporting Search, RAG, RecSys & Analytics without work & compute duplication
Multi-modal encoding for improved quality, control and explainability
Cost saving features, such as, streaming & batch updates, and partial vector updates
Experience the power of Superlinked with a live app handling multi-modal product data & metadata encoding for improved retrieval quality, control and explainability, and see how we built it.
Text-only vector search and most multimodal methods struggle with complex queries in e-commerce, where user intent spans more than just text. A query like “lightweight waterproof jackets for hiking under 100 dollars in neutral colors” combines semantic meaning with numerical limits and categorical preferences.
Superlinked provides a framework for embedding and searching across different data types, making it easier to build systems that understand and rank products based on real-time user needs. It unifies structured and unstructured data into a single, searchable space for more accurate and useful results. Learn more.
Superlinked integrates with any cloud provider and infrastructure that you have, so you retain full control of your data. Our platform serves as a layer atop vector databases, so even if you already have a vector database in place, there is no need to replace it. We can work with your structured and unstructured data no matter where it sits within your organisational infrastructure.
Check out a recent case study with BrandAlley, a large e-commerce retailer in the UK. BrandAlley able to transform their entire shopping experience, achieving a 77% conversion rate increase, and a 68% higher average order value.
Modern day search data is multi attribute, and the naive way is to store each attribute vector in a separate vector store. At Superlinked, we concatenate and store all attribute vectors in the same vector store, which allows us to search just once, with clear efficiency gains.
Our Spaces concept also lets you assigns weights to each attribute at query time to surface more relevant results, with no post-processing. Learn more.
Yes, Superlinked offers developers a fine-grained control over how search and recommendation results are ranked and prioritized. When a user searches for “lightweight waterproof jackets for hiking under 100 dollars”, Superlinked automatically breaks the query into multiple embedding spaces (text, price, category, etc.), which can be controlled separately.
This flexibility means that you can express business logic directly through query parameters rather than applying a separate post-processing step. It’s a powerful way to align search behavior with real-world business needs like promotions, margins, or customer preferences.
Superlinked follows a consumption-based model. There are no fixed license fees or long‑term commitments, so you’re billed only for the resources your application consumes. We offer substantial introductory discounts for design partners to help teams start experimenting and scaling with minimal upfront cost. Get in touch to learn more.
