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Need to search for words or phrases across thousands of documents? 🔍 Basic string matching with regex is slow and doesn't understand language. You need MongoDB Text Search! In this essential 2025 guide, we’ll show you how to build a powerful keyword-based search engine directly inside your database.
This tutorial covers the two main ways to perform text searches: the standard $text operator for self-managed databases and a brief look at the advanced Atlas Search for cloud users. 🚀
What you will learn in this video:
Setting Up the Text Index: You can only have ONE text index per collection, but it can cover multiple fields. We’ll show you the syntax: db.collection.createIndex({ title: "text", body: "text" }).
The $text Operator: How to use the $search key to find documents.
OR Search: Finding documents that contain any of the words (e.g., "coffee cake").
Exact Phrase Search: How to use escaped quotes \" \" to find a specific phrase. ✅
Excluding Words: Using the minus sign - to filter out results (e.g., "coffee -tea"). 🚫
Sorting by Relevance (Search Score): By default, results aren't sorted by how well they match. We'll show you how to use the Metadata Score:
How to project the score using { score: { $meta: "textScore" } }.
How to sort results so the best matches appear at the top! 📈
Text Search in Aggregation: Using the $match stage with $text as the first step in your pipeline.
Language Support: How to specify languages (like Spanish or French) for better stemming
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2025/12/20
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