The integration of real-time streaming data with vast archives of point-in-time information allows for near-zero latency in AI interactions, enabling instantaneous responses.
Multi-Agent Retrieval-Augmented Generation Systems (MARS) represent a pivotal approach for developing effective real-time AI applications, optimizing both performance and user experience.
Utilizing platforms like AWS Bedrock along with SingleStore can greatly enhance the efficiency of enterprise-grade AI applications, highlighting the importance of robust architecture.
An example of a real-life application is the customer support co-pilot that utilizes real-time AI to not only resolve queries but also enrich the overall user experience.
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