Keyword search is built on natural language processing (NLP) | Algolia

Natural Language Processing (NLP) plays a crucial role in enhancing keyword search, which is an essential component of hybrid search solutions. NLP involves breaking down text into smaller pieces and transforming it into forms that are easier for computers to use. Keyword search engines rely on structured data where objects are described using single words or simple phrases. By utilizing techniques such as tokenization, normalization, synonyms, typo tolerance, partial word matching, transliteration, and ranking algorithms, NLP helps create great relevance and ranking in keyword searches. As language processing evolves with the help of AI and machine learning models like vectors and large language models (LLMs), NLP continues to empower query-level functionality in keyword search, which remains a go-to method for handling simple queries on a daily basis.

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