Elasticsearch - Vector Database
by Elastic
Build scalable AI experiences faster at lower costs with Elasticsearch's Vector Database
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AI systems have evolved into automated agentic systems that reason, take actions, and execute workflows. But they depend on contextual data that is based on intent and meaning. As AI and LLM-driven experiences become standard, organizations are making use of vast, unstructured data across text, images, and more. Vector databases enable this shift by powering semantic and similarity-based retrieval, and adoption is increasing as RAG and AI applications move into production.
Elasticsearch is the most widely deployed, open source vector database.
With
Elasticsearch you won’t have any gaps because it was built to be a
complete vector database solution. Build the future of tech and GenAI
with:
Hybrid search that combines the precision of keyword search and the context understanding of semantic search with the flexibility of vector search - so you get the best relevance on any data.
Advanced search relevance techniques to return the right results every time: filters, embedding models, inference models, reranking models and more.
Inference APIs that execute native inference with popular LLMs or built-in models for vector embeddings with no external machine learning infrastructure needed.
MCP (Model Context Protocol) that enables you to chat with all of your data in Elasticsearch so you get instant, accurate answers with no querying required.
Take advantage of Elastic Cloud Serverless to start and scale security, observability, and search solutions without managing infrastructure. Built on the industry-first Search AI Lake architecture — which relies on Azure Blob Storage — it combines vast storage, compute, low-latency querying, and advanced AI capabilities to deliver uncompromising speed and scale. Users can choose from Elastic Cloud Hosted and Elastic Cloud Serverless during deployment. Try the new Serverless calculator for price estimates.
Getting Started
Elastic on Microsoft Azure gives you the ability to deploy Elasticsearch directly within the Azure portal. Elasticsearch resources can be managed in the Azure portal just like any other native Azure service like VMs once you are configured as a Subscription Owner or Contributor in order to deploy Elasticsearch. When you purchase and manage your Elastic subscription directly from the Microsoft Marketplace, you can frictionlessly provision your deployment using configuration defaults or using custom configurations.
Billing
Your Microsoft Marketplace purchase of Elastic will be included in your monthly consolidated billing statement. Your investment in Elastic draws against your committed spend with Microsoft. You can monitor and analyze your Elastic spend from the billing and usage page within the Elastic Cloud Console. For more information on pricing, please speak with an Elastic Solution Architect.
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