Synapsis - Vectorisation as a Service
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 managing your ingestion pipeline to retrieve high-quality vector embeddings using the latest embedding models. We want to enable our customers to build a new wave of enterprise applications for data exploration, RAG, deep memories or real-time analytics; and reduce time-to-market for AI applications.
Product Description
Quasara 'Synapsis' is a vectorisation engine that transforms complex visual data into vector embeddings, enabling applications in areas such as autonomous driving, visual inspection, and satellite imaging. It simplifies the process of vector embeddings by handling data ingestion, model selection, and infrastructure needs, allowing customers to focus on their core applications. The service is designed for high performance with customizable API access and strong security features.
Core Features
- Effortlessly extract vector embeddings from massive visual data
- Use the latest embedding models tailored to specific use cases
- Seamless integration with existing search systems through an API
- High precision in search systems and control over quality
- State-of-the-art encryption and compliance options
Use Cases
- Autonomous driving
- Visual inspection of infrastructure
- Earth observation with satellite images
- Data exploration and analytics
- Building semantic search engines and chatbots
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