Case Study

LG CNS implements Elasticsearch hybrid, vector, and generative AI capabilities to improve accuracy and reduce data retrieval times

LG CNS implements Elasticsearch hybrid, vector, and generative AI capabilities to improve accuracy and reduce data retrieval times

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LG CNS implemented Elasticsearch's hybrid, vector, and generative AI capabilities to dramatically boost search accuracy and slash data retrieval times in its knowledge management system. Elastic software elevated search relevance from 75% with full-text methods to an impressive 95% via hybrid search, ensuring precise results from vast corporate documents encoded and indexed through AI models. It halved mass data search times—from 0.2 seconds to 0.1 seconds—while accelerating answer generation. These enhancements transformed employee search experiences, streamlining access to critical information in South Korea's software and technology sector.

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