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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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  • PERFORM EFFICIENT SEARCHES ON VECTOR EMBEDDINGS 
  • BUILD SOPHISTICATED DEEP LEARNING MODELS 
Benefits
Enterprise Ready
Abacus.AI vector matching engine provides enterprise grade security, governance, compliance and high availability.
Large Scale With SLAs For Throughput and Latency
Abacus.AI vector matching engine can work on datasets that have more than 1Bn+ vectors and deliver predictions under 150ms.
Highly Accurate
Our vector similarity search is best in class and generates predictions with extremely high accuracy.
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