Vector Matching Engine
Perform efficient and accurate searches on large amounts of vector embeddings. Train embeddings for posts, images or documents using deep learning models. Given a vector, you can use the matching engine to find vectors similar to one in the query, in milliseconds.
Scales to billions of embeddings
Enterprise scale update speeds and millisecond latencies
Applied to language, image and recommender models
The Abacus.AI solution can support any nearest neighbor algorithm, incorporates state-of-the-art efficiency techniques and can deliver 100% recall. It is the ONLY solution of it's kind in the industry.
Apply Vector Matching Engine to ad-targeting, personalization, NLP powered shot or image classification
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