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Welcome to a concise guide on Search Indexes in system design! Join me as I explore the critical role of search indexes in enhancing data retrieval performance.

What are Search Indexes?
A search index is a data structure that improves the speed and efficiency of data retrieval operations in a database or search engine. It enables fast lookups of data by creating an optimized representation of the data, facilitating quick and efficient searches.

Use Cases
Search Engines: Powering web search engines to provide fast and relevant search results.
E-commerce: Enhancing product search functionality, allowing users to quickly find items based on keywords and attributes.
Database Systems: Improving query performance in relational databases by indexing columns and supporting efficient lookups and range queries.

Consider an e-commerce website with a product catalog. To enhance the product search functionality, the site uses an inverted index. Each term in the product descriptions is indexed, mapping the term to the products containing it. When a user searches for "wireless headphones," the search engine quickly retrieves the list of products containing these terms from the index, providing fast and relevant search results.

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Amazon, Apple, Facebook, Meta, Netflix, Google


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