At Vivens Dynamics, we focus on developing smart solutions that make life better and help businesses grow. We work on projects focused on creating and advancing AI frameworks, improving system performance, managing data efficiently, and ensuring our work is ethical. Learn more about our research and see how we’re making a positive impact.
Contextual Associations Through Conversational Hypervectors (CATCH) with Linked Vector Context (LVC) is preliminary research on a methodology for managing long-term storage in conversational AI systems, emphasizing computational efficiency, reduced latency, and rapid data retrieval.
This paper serves a surface level introduction to AI vector data storage, exploring potential solutions, challenges, and benefits. You can read more about this research in the article we authored or access the paper directly on our GitHub repository.
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