Search is by far the most popular way for users to find things within your applications. And a great semantic search implementation typically provides a much better user experience than categorical drill downs and taxonomies.

To enhance your custom AI assistants with your organization's intelligence, you likely need a vector database and vector search.

Azure AI Search makes it possible to implement robust semantic and vector search within your applications and AI assistants without building search infrastructure and developing a search engine.

In this session, you will learn how to get started with Azure AI Search. We will walk through setting up indexes and will populate our indexes with data. Lastly, we will integrate search into applications and AI assistants and take advantage of the power of Azure AI Search.

You will learn:

• Overview of semantic and vector search
• Getting started with Azure AI Search
• Integrating Azure AI Search into applications and AI assistants