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Explore how vector search engines power the next generation of AI agents in this 28-minute conference talk. Discover Quadrant's capabilities including contextual precision, memory retention, and semantic caching, and learn how these features enhance real-time decision-making and multimodal search. Examine practical applications through examples like TripAdvisor's Trip Builder to understand how agentic RAG creates faster, smarter AI workflows. Gain insights into Quadrant's role in scaling agentic systems and driving the evolution of intelligent, data-aware applications from Developer Advocate Thierry Damiba, with discussion led by MLOps Community Founder Demetrios Brinkmann.
