Implementing an Azure Cognitive Search Solution
Difficulty: Intermediate
Duration: 4 minutes and 3 seconds
Students: 623
Rating: 4.1/5
This lesson focuses on the skills necessary to implement a knowledge-mining solution with a focus on the Cognitive Search solution. The lesson will walk through how to create a Cognitive Search solution and how to set up the process for importing data. Once the data sources have been set up properly, the lesson will teach you how to create a search index and then how to configure it to provide the best results possible.
Learning Objectives
- Create a Cognitive Search solution
- Import from data sources
- Create, configure, and test indexes
- Configure AutoComplete and AutoSuggest
- Improve results based on relevance
- Implement synonyms
Intended Audience
- Developers who want to include full-text search in their applications
- Data engineers focused on providing better accessibility to organizational data
- AI engineers that provide AI combined with search functionality in their solutions
Prerequisites
To get the most out of this lesson, you should:
- Have a strong understanding of data sources and how data will be needed by users consuming a Cognitive Search solution
- Be able to use REST-based APIs and SDKs to build knowledge-mining solutions on Azure