Search results
Web search services often use full-text search to retrieve relevant results from the internet — be it web page content, online .PDFs, and more. Given the volume of text data involved, a technique to handle the search volume is required — it's called full-text indexing.
- Text Search - MongoDB Manual v7.0
Atlas Search also offers common analyzers for parsing text...
- MongoDB Atlas Search | Integrated Full-text Search | MongoDB
Full-text search with MongoDB. Keep your database and search...
- Text Search - MongoDB Manual v7.0
Atlas Search also offers common analyzers for parsing text for full-text search, including support for over 40 language-specific analyzers. MongoDB offers robust text search capabilities for hosted deployments, include fine-grained indexing and a rich query language.
Does MongoDB have a feature where I could store PDF, text or .doc/docx documents and search for them or do a match between two documents on a keyword found in their content? For example: I might want to store one document called 'claim.txt' that has values for diagnosis code, short description, date and amount in it.
9 gru 2023 · Full Text Search in MongoDB is a feature that allows users to execute complex search queries on collections of data. It works by indexing the content of fields specified by the user and then using this index to quickly search for text.
5 sty 2022 · In this tutorial, you’ll learn by example how to create a text index in MongoDB and use it to search the documents in the database against common full-text search queries and filters. Prerequisites. To follow this tutorial, you will need: A server with a regular, non-root user with sudo privileges and a firewall configured with UFW.
Full-text search with MongoDB. Keep your database and search in sync with fully integrated search functionality. View Documentation. Build a search index. Create a JSON search index definition in a few clicks in the Atlas UI or a single Atlas admin API.
9 kwi 2023 · Automatic indexing: MongoDB Atlas Full-Text Search automatically indexes data as it's added to the database, making it easier for developers to implement search functionality without the need for a separate indexing process.
