Elasticsearch solution & project type overview
Serverless Stack
Not sure which deployment type is right for you? Use the following resources to help you decide:
- Read the Elastic deployment types overview
- Compare serverless and Elastic Cloud Hosted
- Compare pricing models between Elastic Cloud and Serverless
The Elasticsearch solution and serverless project type provide specialized UI tools and interfaces that help you build search applications on top of the Elasticsearch platform.
These UI affordances are exclusive to the Elasticsearch solution (on non-serverless deployments) and the Elasticsearch serverless project type. They complement the core search primitives available across all Elastic deployments.
The Elasticsearch solution provides the following specialized UI tools:
Agent Builder enables you to create AI agents that can interact with your Elasticsearch data, execute queries, and provide intelligent responses. It provides a complete framework for building conversational AI experiences on top of your search infrastructure.
Playground lets you use large language models (LLMs) to understand, explore, and analyze your Elasticsearch data using retrieval augmented generation (RAG), via a chat interface. Playground is also useful for testing and debugging your Elasticsearch queries using the retrievers syntax.
The Search with synonyms interface provides a dedicated UI for managing synonym sets directly within Kibana, making it easier to improve search relevance without editing configuration files.
Query Rules UI enables you to create and manage query rules that modify search behavior based on specific conditions, helping you deliver more relevant results for common queries.
The AI Assistant provides intelligent assistance and insights across the Elastic platform, helping you understand your data and workflows more effectively.
The Model Context Protocol (MCP) lets you connect AI agents and assistants to your Elasticsearch data to enable natural language interactions with your indices.
Ready to start using the Elasticsearch solution? Refer to Get started for setup instructions and quickstart guides.
For a deeper understanding of search concepts and techniques, refer to the Search use case documentation.