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Elastic Enables Innovation in Next Generation Knowledge Management with LG CNS

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Elastic (NYSE: ESTC) announced a successful collaboration with LG CNS to enhance the company's global knowledge management services. By integrating Elasticsearch into LG CNS's KeyLook AI search algorithm, the company achieved a 95% increase in search relevance and reduced data retrieval time by over 50%. The KeyLook AI algorithm, developed at LG CNS's AI Center, uses generative AI models to encode corporate data and index it within Elasticsearch, delivering user-friendly answers through a large language model (LLM). This integration has improved the system's ability to understand user intent and perform context-based vector searches across multiple languages.

Elastic (NYSE: ESTC) ha annunciato una collaborazione di successo con LG CNS per migliorare i servizi globali di gestione della conoscenza dell'azienda. Integrando Elasticsearch nell'algoritmo di ricerca KeyLook AI di LG CNS, l'azienda ha ottenuto un incremento del 95% nella rilevanza delle ricerche e ha ridotto il tempo di recupero dei dati di oltre 50%. L'algoritmo KeyLook AI, sviluppato presso il Centro AI di LG CNS, utilizza modelli di intelligenza artificiale generativa per codificare i dati aziendali e indicizzarli all'interno di Elasticsearch, fornendo risposte facili da usare tramite un modello di linguaggio di grandi dimensioni (LLM). Questa integrazione ha migliorato la capacità del sistema di comprendere l'intento dell'utente e di eseguire ricerche vettoriali contestuali in più lingue.

Elastic (NYSE: ESTC) anunció una colaboración exitosa con LG CNS para mejorar los servicios globales de gestión del conocimiento de la empresa. Al integrar Elasticsearch en el algoritmo de búsqueda KeyLook AI de LG CNS, la compañía logró un incremento del 95% en la relevancia de las búsquedas y redujo el tiempo de recuperación de datos en más de un 50%. El algoritmo KeyLook AI, desarrollado en el Centro de IA de LG CNS, utiliza modelos de IA generativa para codificar los datos corporativos e indexarlos en Elasticsearch, ofreciendo respuestas amigables a través de un modelo de lenguaje grande (LLM). Esta integración ha mejorado la capacidad del sistema para entender la intención del usuario y realizar búsquedas vectoriales contextuales en múltiples idiomas.

Elastic (NYSE: ESTC)는 LG CNS와의 성공적인 협력을 통해 회사의 글로벌 지식 관리 서비스를 향상시키기 위한 계획을 발표했습니다. LG CNS의 KeyLook AI 검색 알고리즘에 Elasticsearch를 통합함으로써 회사는 95%의 검색 관련성 증가를 달성하였고, 데이터 검색 시간을 50% 이상 줄였습니다. LG CNS AI 센터에서 개발된 KeyLook AI 알고리즘은 생성적 AI 모델을 사용하여 기업 데이터를 인코딩하고 Elasticsearch 내에서 인덱싱하여 대규모 언어 모델(LLM)을 통해 사용자 친화적인 답변을 제공합니다. 이 통합을 통해 시스템은 사용자 의도를 이해하고 여러 언어에 대한 맥락 기반 벡터 검색을 수행하는 능력이 향상되었습니다.

Elastic (NYSE: ESTC) a annoncé une collaboration réussie avec LG CNS pour améliorer les services mondiaux de gestion des connaissances de l'entreprise. En intégrant Elasticsearch dans l'algorithme de recherche KeyLook AI de LG CNS, l'entreprise a réalisé une augmentation de 95 % de la pertinence des recherches et a réduit le temps de récupération des données de plus de 50 %. L'algorithme KeyLook AI, développé au centre d'IA de LG CNS, utilise des modèles d'IA générative pour encoder les données d'entreprise et les indexer dans Elasticsearch, fournissant des réponses conviviales via un modèle de langage de grande taille (LLM). Cette intégration a amélioré la capacité du système à comprendre l'intention de l'utilisateur et à effectuer des recherches vectorielles contextuelles dans plusieurs langues.

Elastic (NYSE: ESTC) hat eine erfolgreiche Zusammenarbeit mit LG CNS angekündigt, um die globalen Wissensmanagement-Dienste des Unternehmens zu verbessern. Durch die Integration von Elasticsearch in den KeyLook AI-Suchalgorithmus von LG CNS erzielte das Unternehmen eine 95%ige Steigerung der Suchrelevanz und reduzierte die Datenabrufzeit um über 50%. Der KeyLook AI-Algorithmus, der im AI-Zentrum von LG CNS entwickelt wurde, verwendet generative KI-Modelle, um Unternehmensdaten zu kodieren und diese in Elasticsearch zu indizieren, wodurch benutzerfreundliche Antworten über ein großes Sprachmodell (LLM) bereitgestellt werden. Diese Integration hat die Fähigkeit des Systems verbessert, die Benutzerintention zu verstehen und kontextbasierte Vektorsuchen in mehreren Sprachen durchzuführen.

Positive
  • Achieved 95% search relevance rate after Elasticsearch integration
  • Reduced data retrieval time by over 50%
  • Successfully implemented multi-lingual search capabilities
  • Enhanced corporate data governance through RAG applications
Negative
  • None.

Insights

The integration of Elasticsearch into LG CNS's KeyLook AI marks a significant technological advancement in enterprise search capabilities. The 95% increase in search relevance and 50% reduction in data retrieval time demonstrate exceptional improvements in performance metrics. The implementation of vector search over traditional keyword-based search, combined with RAG architecture, represents a sophisticated approach to knowledge management that could drive substantial operational efficiencies.

The system's ability to handle multi-lingual searches while maintaining data governance is particularly noteworthy for global enterprises. This deployment showcases how modern search infrastructure can effectively bridge the gap between proprietary corporate data and large language models, creating a secure and efficient knowledge retrieval system. For Elastic, this successful implementation at a major enterprise could accelerate adoption of their Search AI platform in the growing APAC market.

Elasticsearch enhances LG CNS’s KeyLook AI with hybrid search, achieving a 95% increase in search relevance to dramatically improve the accessibility and usability of corporate knowledge

SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI company, today announced its successful collaboration with LG CNS, a leading digital transformation company in Korea, to help transform the company’s global knowledge management services with enhanced search for generative AI (GenAI).

LG CNS's KeyLook AI search algorithm is a retrieval augmented generation (RAG) system developed at its in-house AI Center. The company has integrated Elasticsearch into its search algorithm, increasing its search relevance rate to 95% while reducing data retrieval time by over 50%.

LG CNS delivers comprehensive consulting, system development, and operational services to drive digital transformation in Korea and globally. Drawing upon a legacy of expertise earned from years of success in large-scale IT initiatives and a deep understanding of GenAI and other advanced technologies, LG CNS empowers businesses to innovate and optimize through transformative digital solutions.

To serve the global market with leading knowledge management services, LG CNS needed to improve the overall search function of its KeyLook AI search algorithm so that its applications could cover all search-related fields and languages.

In particular, LG CNS needed to improve its search relevancy to better understand user intent. This required shifting from a traditional keyword-based search to a more sophisticated context-based vector search approach. By adopting Elasticsearch, LG CNS addressed the limitations of its previous RAG, improving search accuracy and leading to a 95% relevance rate.

"With vector search capabilities, Elasticsearch allows for contextually accurate, multi-lingual searches, enhancing the accessibility and usability of corporate knowledge more effectively and efficiently," said Vice President Yohan Chin, head of the AI Center at LG CNS.

The collaboration between Elastic and LG CNS also substantially improved the speed of data retrieval. By optimizing memory management and leveraging Elasticsearch’s scalable architecture, LG CNS successfully halved the time required to search extensive datasets.

Adopting Elasticsearch has also benefited LG CNS employees. The KeyLook AI algorithm leverages GenAI models to encode corporate data and index it within Elasticsearch. When a user enters a question on a search site, KeyLook AI identifies related documents and delivers them to a large language model (LLM). The LLM then delivers answers to users by compiling user-friendly, easy-to-understand answers. LG CNS can preserve the data governance of its proprietary corporate information and leverage the RAG applications using the power of Elastic Search AI.

“Gen-AI powered conversational queries are a powerful tool for next-generation knowledge management, helping to deliver the productivity, efficiency and user experience customers expect,” said Matthew Day, general manager & vice president, APJ & EMEA at Elastic. “As our collaboration continues with LG CNS, we will continue to explore new avenues of innovation available through LG CNS’s KeyLook AI and the Elastic Search AI Platform to benefit our shared customers.”

To find out more, read the customer story here.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

Media Contact

Alexia Russell

PR-team@elastic.co

Source: Elastic N.V.

FAQ

What improvements did LG CNS achieve after implementing Elastic (ESTC) search technology?

LG CNS achieved a 95% search relevance rate and reduced data retrieval time by over 50% after implementing Elastic's search technology in their KeyLook AI algorithm.

How does LG CNS's KeyLook AI use Elastic (ESTC) technology?

KeyLook AI uses Elasticsearch to encode corporate data and index it, enabling context-based vector searches and delivering answers through a large language model (LLM) for improved knowledge management.

What are the main benefits of Elastic's (ESTC) integration with LG CNS's system?

The main benefits include improved search accuracy with 95% relevance rate, 50% faster data retrieval, enhanced multi-lingual search capabilities, and better preservation of corporate data governance.

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