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Enhancing Vector Databases with Real-time Stream Processing

In today's data-driven world, the ability to efficiently search and retrieve unstructured data, such as text, images, and videos, is paramount. Enter the realm of similarity search and vector databases, which aim to find analogous results to search queries. With the rise of Large Language Models (LLMs), the integration with vector databases has become even more crucial. In this session, delve into a pioneering approach that harnesses the power of vector databases and supercharges them with traditional search and filtering techniques using real-time stream processing. Discover how real-time compute APIs can unlock the potential of distributed clusters, ensuring you harness the full performance capabilities. Join us as we explore this synergy between real-time storage and computing, offering a streamlined and efficient approach to handle real-time use cases at any scale.