The Evolution of Search Engines: How AI is Transforming Information Retrieval [Video]

In a world overflowing with data, the evolution of search engines has become paramount to efficient information retrieval. Lav Kumar explores the profound innovations in artificial intelligence (AI) that are reshaping the future of search. His expertise in cloud and search technologies provides an in-depth look at the transformation of search engines, especially in the way AI enhances query processing and search results.

The Shift from Keyword-Based to AI-Powered Search

Traditional search engines depended on keyword-based algorithms but often needed to grasp the nuances of language and query intent. This led users to sift through irrelevant results, especially with complex or conversational queries, as search engines required users to adapt their input to the system’s limitations.

Introducing AI techniques like Natural Language Processing (NLP) and machine learning transformed search engines by enabling them to understand query intent. Google’s BERT model exemplifies this, as it analyzes word relationships within sentences, allowing search engines to grasp context and provide more accurate, relevant …