Wondering how vector search can help you deliver the search experiences your customers have been waiting for?
In this video, you'll learn more about the limitations with traditional search and how semantic vector search can help you overcome them.
When customers can't find information they need, frustration ensues. Your most motivated customers and employees search websites, mobile apps, and knowledge bases to get answers to simple questions. But when search doesn't deliver, it impacts customer and employee experience, and your bottom line.
Search with exceptional relevance at its core will be driven by machine learning innovations across all use cases and industries: ecommerce, customer service, knowledge management, and many more.
Learn more about search and machine learning and explore what's on the horizon. Get a look at underlying technologies behind vector search, exciting applications where you'll see machine-learning-powered search come to light, and ways to improve search experiences that not only meet, but exceed customer expectations.
- What limitations exist in traditional search
- How semantic vector search can help you deliver a more intuitive digital experience for your customers
- How vector search works using Elastic machine learning
- Hands-on example of vector search for eCommerce