The emergence of Large Language Models (LLMs) has illuminated one of AI’s most critical functions: the ability to retrieve information from vast datasets. In the world of knowledge management, efficient search capabilities are critical. With a multitude of documents, diverse content types such as videos, datasets, and FAQs, the efficiency of search can significantly impact both employee productivity and customer satisfaction.
According to our research at Lucidworks, 100% of respondents ranked search relevance as highly important, with 96% finding it challenging to deliver. Additionally, a significant 88% believe that AI will play a crucial role in delivering relevant search experiences in the future.
The practical applications of generative AI and LLMs are vast and promising. But first, you have to know where to start. Read the report to learn more
- Ways to Expand AI Insights Beyond User Experience
- How to Transform Chatbots into Conversational Virtual Assistants
- Why to Consider New Forms of Search
Companies can leverage AI-driven insights to optimize search algorithms, refine document recommendations, and address underperforming areas, leading to increased efficiency and profitability.