In the evolving landscape of AI, retrieval-augmented generation (RAG) is emerging as a powerful approach to enhance the accuracy, efficiency, and reliability of language models. But effective data retrieval goes beyond just words—it requires robust infrastructure, optimized search capabilities, and the ability to support advanced AI models at scale.
This talk introduces Vespa AI, a powerful search and analytics engine designed for large-scale, real-time applications. We will explore how Vespa supports advanced retrieval models, vector search, hybrid search strategies, and large-scale inference, making it a key enabler for state-of-the-art AI applications. The session will delve into practical use cases, discuss challenges in real-world AI deployment, and showcase how organizations can leverage these capabilities to build smarter, faster, and more reliable AI systems. Whether you’re working with LLMs, personalized search, or recommendation engines, this talk will provide valuable insights into scalable AI-driven data retrieval.
Event Timeslots (1)
@Collab 10
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by Piotr Kobziakowski
#tech