Implement Search for content-driven web apps

Data storage search refers to the process of searching for specific data or information within a storage system, database, or repository. Users can use various search types to locate and retrieve specific data from a large volume of stored information. The goal of data storage search options is to provide users with an efficient method of finding specific information.

Methods and technologies used for data storage search include:

Terms
Full-text search Full-text data storage searching is a search option that enables users to look up specific words or phrases within the entire text of a document, rather than just the metadata associated with the document. This search means that even if a keyword or phrase is not explicitly included in the document's title, author, or other metadata, it can still be found through a full-text search.
Indexes Searching for specific words or phrases within the metadata associated with a document is made possible through index data storage searching. This search option lets users quickly find a keyword or phrase in the document's title, author, or other metadata. Index searching is a helpful tool for quickly and efficiently locating relevant information.
Third-Party Integration Searching for specific words or phrases within the metadata associated with a document across different systems or platforms is known as third-party integration data storage searching. This tool lets users quickly find relevant information without manually searching each platform, streamlining workflows and improving efficiency. Examples of third-party integrations are Algolia, Big Query, and ElasticSearch.
Caching Users can quickly access frequently searched documents or metadata by using caching for data storage searching, improving overall efficiency and productivity. Caching involves storing frequently accessed data in a temporary storage location, such as a cache memory or disk, to improve response time and reduce the workload on the primary storage system. This method effectively enhances data storage searching, allowing faster access to frequently accessed data and reducing the workload on the primary storage system.