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"Achieving Relevant AI with Vector Search"

November 4, 2025, 11am PT | 2pm ET

The emergence of large language models and semantic search caused many people to ask: "Is search dead — or is it more relevant than ever?" The shift from traditional lexical search to semantic search, generative AI and agent-based approaches is reshaping industry practices. But despite the clear advances AI has brought to search, organizations and users still struggle with trust and accuracy problems.

If this sounds familiar, please join Dave Moore, Principal Solutions Architect at Elastic, and TNS Host Chris Pirillo to explore the evolving landscape of search in the age of LLMs and GenAI. During this webinar, they will discuss the critical role of vector databases in enabling trustworthy, intent-driven retrieval and powering reliable AI agents. You’ll learn how advanced vector capabilities provide a unified, scalable foundation for search and AI workflows, supporting accuracy, adaptability, and seamless integration with modern AI frameworks.

Highlights

• Understand the evolving role of search and vector databases in GenAI.
• Learn why a vector database is no longer enough. - Explore the advantages of a hybrid search / RAG / agent approach.
• Help your users understand how they can trust the responses from LLMs.
• Watch a demo to learn some of the ways you can use a vector database.

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