Introduction

• Text indexes are a specialized data structure within Azure Cosmos DB for MongoDB vCore.
• They improve the performance of text-based queries.
• Text indexes optimize querying for textual data such as articles, documents, comments, and other content-rich sources.

Defining a Text Index

• Text indexes can be created for specific fields in a collection.
• Example: Creating a text index for fields like job_title, company, location, and description in a job search platform.

Text Index: Options and Weights

• Text indexes in Azure Cosmos DB for MongoDB vCore have customizable options.
• Example: Creating a text index with weighted importance assigned to certain fields like job title and description.
• This enhances the relevance of search results.

Conclusion

• Azure Cosmos DB for MongoDB vCore's text indexes optimize text-based searches.
• They are beneficial for various use cases involving textual data.