How Agentic Search is Redefining Information Retrieval

Unlock the Power of Agentic Search to Solve Complex Queries Intelligently

Surprisingly, many users still rely on outdated keyword-based systems. Why do these “old” tools remain effective? Because humans compensate for their limitations. Users refine their queries, test synonyms, or chain searches together. This reveals a critical insight: the biggest gains in search won’t come from marginally improving retrieval models, but from employing search agents.

Join us for an exciting session on Agentic Search, where we will explore how search engines can go beyond simple query matching to strategically solve complex problems. We will dive into the limitations of traditional keyword-based search systems and introduce the concept of search agents. Learn how these agents can decompose complex queries, iterate through hypotheses, and synthesize insights across multiple sources to provide more relevant answers.

What You’ll Learn:

• Understand the evolution of search from keyword-based systems to semantic search.
• Discover why traditional search models are reaching their limits and how agentic search can break through them.
• Learn how search agents can decompose queries into sub-questions and synthesize insights from multiple sources.
• Explore real-world examples of agentic search in action.
• Understand how this paradigm can redefine the future of search, delivering results that are not only more accurate but also more insightful.