Dive into the evolution of retrieval and discover how agentic approaches are transforming search.

Large language models (LLMs) have come a long way, evolving from basic chatbots to powering enterprise-wide data and search platforms. As LLMs become more sophisticated, the very concept of search is changing.

In this webinar, we explore the evolving use of LLMs in enterprise search and the rapid emergence of agent-based patterns. We'll provide an overview of how agents use tools and make decisions, and we’ll show their practical application in real-world search. Key topics include why agents are important for hybrid search and how they help in building production-ready applications.

This webinar is designed for developers, data scientists, tech influencers, and product managers who are looking to stay ahead of the curve in enterprise search technology.

Highlights

How search with LLMs is evolving: Understand how simple chatbots have evolved to power complex enterprise search use cases
Agent concepts: Learn agent functionalities, including tool usage and decision-making
Agent use cases: Discover examples of how agents enhance search and enterprise applications.
Value of hybrid search: Learn the importance of hybrid search in modern applications and the difficulties of at-scale implementation.

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