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![Cavit Cakir](https://ph-avatars.imgix.net/7625056/original.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Retrieving vector embeddings from petabytes of images, videos or text is challenging to scale, while having full control of its quality and a high precision in search system. Quasara helps retrieve high-quality and high-dimensional vector embeddings.
![Synapsis - Vectorisation as a Service](https://ph-files.imgix.net/d8cf3c10-4c8e-4c6d-a2e4-bc51a7ec85c5.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Synapsis - Vectorisation as a Service
We connect visual data to AI applications.