Elasticsearch
Motor de búsqueda y analítica de Elastic con capacidades de búsqueda de texto completo, vectorial e híbrida.
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Casos de uso
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Empresas
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Industrias
Empresas usando Elasticsearch
Industrias
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Casos de uso (4)
Lusha is a B2B sales intelligence platform with 1.5 million users and a database of over 200 million business contacts. By deploying Elasticsearch as both a full-text search engine and a vector database for AI-powered lead recommendations, Lusha helps customers generate 300% more leads, achieve conversion rates up to 10x higher, and realize return on investment of up to 1,000%.
Vectorize.io is a US-based software company that builds agentic and generative AI infrastructure, helping organizations in law, insurance, and finance make vast volumes of unstructured data usable by large language models. By integrating Elastic’s hybrid search and Elastic Cloud Serverless with Amazon Bedrock, Vectorize deploys production-ready AI solutions for clients in hours rather than weeks. One client whose developer community grew by a million users in a year relied on Vectorize’s real-time learning agent—built on Elasticsearch—to answer support queries and instantly index new answers for future use.
Amazon BedrockTinexta Visura is an Italian digital trust and technology company that built Lextel AI, a legal research platform for Italian law firms and corporate legal teams. Powered by Elasticsearch, Google Gemini, and retrieval-augmented generation across a repository of 4.8 million legal documents, the platform enables attorneys to locate relevant case law and automatically generate traceable legal opinions. The system reduces attorney research and drafting time by one hour to two full working days per task, depending on complexity.
WP Engine, the leading WordPress hosting platform serving more than 1.5 million users across 200,000 websites in 150+ countries, deployed Elastic’s Search AI Platform alongside Google Cloud Vertex AI and Gemini to build Smart Search AI and enable retrieval-augmented generation (RAG) capabilities for its customers. The integration allows WP Engine to deliver natural language search, context-aware product recommendations, and AI-powered chatbots to website owners without requiring them to stitch together multiple vendors. Response times dropped to as low as five milliseconds, and the platform handled traffic spikes from hundreds of thousands to tens of millions of queries per minute with zero downtime.