Search in the time of generative AI

Use Elasticsearch with large language models (LLMs) to create powerful, new applications for your customers and employees. Tailor generative AI experiences to your business using real-time, proprietary data. Build cost-effective and secure AI apps that are accurate and relevant using Elastic’s vector database, out of the box semantic search, and transformer model flexibility. The future is possible today with Elastic.

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Learn more about Elastic's latest innovations to scale generative AI use cases.
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Find out more about building search-powered generative AI experiences.
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Learn about how to get started building generative AI apps with the Elasticsearch Relevance Engine™.
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WHAT IS GENERATIVE AI USED FOR?

A world of AI possibilities

Build generative AI applications using Elastic to give end-users customized, prescriptive responses with sophisticated question-answering that references your organization's real‑time data.

  • Retail & Ecommerce

    Product recommendations, real-time insights and automation, fraud detection

  • Financial Services

    Risk assessment, fraud detection, personalized experiences, customer insights

  • Telecommunications

    Product search & discovery, customer support, network technology optimization

  • Government

    Personalized public services, streamlined investigations, and intelligence

  • Compliance reporting, case summarization, research and discovery

  • Manufacturing

    Smart monitoring, predictive maintenance, and reporting

  • Technology sector

    Knowledge management, customer service, sales outreach, research and development

  • Security

    Risk assessment and analysis, incident response, improved threat detection, alert prioritization

PRIVACY & FLEXIBILITY FIRST

Create a generative AI experience that's tailored to your own business and end-user needs. Elastic connects your datastore whether it's a database, knowledge base, or case history with large language models like OpenAI ChatGPT, Google Bard, and Hugging Face. Have your own transformer model? Bring it and manage it within Elastic. Using Langchain to build your app? We can integrate with your preferred open source frameworks too.

Powering Generative AI

Your data creates the best responses

How can your organization take advantage of generative AI's massive promise and differentiate itself? Put your proprietary data to work using Elasticsearch. Pull real-time data for better efficiency and automation to create innovative customer experiences.

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GEN AI FUNDAMENTALS

See through the context window

Deliver generative AI experiences with better context for customers and employees. Elastic provides generative AI models with relevant search results from your data using retrieval augmented generation (RAG).

When users query your application, Elastic provides relevant search results pulled from the data you have stored in Elasticsearch. These secure results, which contain proprietary context from your organization, get passed to the generative AI model to create more accurate responses for end-users.

ELASTIC'S CAPABILITIES

A new generation of tools

Build relevant, enterprise search experiences and AI apps with the Elasticsearch Relevance Engine™, a suite of powerful development tools that make use of a vector database, semantic search, and transformer models. It's production-ready, highly scalable, and trusted by developers worldwide.

  • Vector database

    Get the foundation for a full vector search experience and generative AI integration. Use a single platform to create, store, and search embeddings for dense retrieval and capture your unstructured data’s meaning and context — across text, images, videos, audio, geo-location, or other data.

    Elasticsearch goes further than other vector databases with a full suite of search capabilities: filters and faceting, document level security, on-prem or cloud deployment, and more.

  • Get relevant semantic search out of the box across domains with the Elastic Learned Sparse Encoder model. Implement it easily with a single click when setting up your new search application. Query expansions with related keywords and relevance scores make the model easily understood and ready for prime time on any dataset — no fine-tuning required.

  • Large language models

    Incorporate your proprietary, business-specific information with LLMs so that generative AI applications don’t have to simply rely on publicly trained data. Elasticsearch is your data source for highly relevant search results that enhances the quality of LLM output via context window. Integrate with generative AI or your preferred LLM using Elasticsearch’s APIs and plugins.

Search — in action

See how organizations are developing mission-critical search experiences that help users find exactly what they’re looking for.

  • Customer spotlight

    Consensus upgrades academic research platform with advanced semantic search and AI tools from Elastic.

  • Customer spotlight

    Cisco creates AI-powered search experiences with Elastic on Google Cloud.

  • Customer spotlight

    Relativity builds futuristic search experiences today.

Elasticsearch Advantage

Enterprise ready

Elastic's natural language understanding and real-time data insights help you provide relevant results with generative AI, at speed and scale.

  • Secure

    Secures data and user access and removes private information with document-level control.

  • Relevant

    Reduce compute, storage, and costs. Cutting-edge search techniques (textual, vector, hybrid, and semantic) and continuously improving relevance powered by native Learning to Rank.

  • Compliance baked-in

    Full support for a comprehensive set of widely recognized compliance standards

  • Proven at scale

    Trusted by 50% of the Fortune 500 for mission critical use cases at petabyte scale. Scale up while reducing costs and processing time associated with retrieval augmented generation (RAG).
  • AI app platform

    An end-to-end platform for building AI search applications that goes beyond gen AI.

  • Deploy anywhere

    Run Elasticsearch where you are: on-prem, on a public cloud provider of your choice, hybrid environments, or serverless (coming soon).