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Text Search and Pattern Matching in MongoDB

Learn how to use MongoDB’s $text and $regex operators to power full-text search and pattern matching. Build flexible, fast queries for products, reviews, and tags using MongoDB Shell.

Harsh Karna - Pluralsight course - Text Search and Pattern Matching in MongoDB
by Harsh Karna

What you'll learn

Modern search applications, from e-commerce platforms to content moderation systems, rely on flexible ways to search and retrieve meaningful text. MongoDB enables this through powerful native operators like $text and $regex.

In this course, Text Search and Pattern Matching in MongoDB, you’ll gain the skills to perform effective search operations on semi-structured documents.

First, you’ll explore how MongoDB's full-text search works, including how to create and query text indexes.

Next, you’ll discover how to use the $text and $regex operators to perform phrase matching, pattern-based filtering, and keyword scoring.

Finally, you’ll learn how to apply these techniques in real-world scenarios, such as searching product reviews, detecting unwanted content, and supporting multilingual queries.

When you’re finished with this course, you’ll have the skills needed to build flexible, production-ready search experiences using the MongoDB Shell.

Table of contents

About the author

Harsh Karna - Pluralsight course - Text Search and Pattern Matching in MongoDB
Harsh Karna

Harsh is a software engineer with 4+ years in Data Engineering, Data Science, and Gen AI, skilled in big data, cloud platforms, and data frameworks. He’s also passionate about travel.

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