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Elasticsearch

Build powerful search experiences with Elasticsearch indexing, queries, and aggregations.

What is Elasticsearch?

Elasticsearch is one of 70 specialized agent skills built into the Multos AI platform. When you describe a task related to data, this skill activates automatically — bringing domain-specific knowledge about elasticsearch, full-text search, search engine directly into your development workflow.

Generates index mappings with analyzers (standard, keyword, edge_ngram for autocomplete), bool queries, aggregations for analytics, and lifecycle policies. Handles relevance tuning, synonyms, highlighting, and bulk indexing pipelines.

Key Capabilities

  • Generates complete, working implementations for elasticsearch with proper error handling and edge cases
  • Understands best practices and security patterns specific to data development
  • Provides step-by-step guidance from setup through production deployment
  • Adapts to your existing codebase — works with any framework, language, or architecture
  • Generates tests alongside implementation code to ensure reliability
  • Specialized knowledge of full-text search patterns, common pitfalls, and optimization techniques

How to Use Elasticsearch on Multos AI

Example Prompts

  • "Build autocomplete search with typo tolerance for my product catalog"
  • "Create an aggregation pipeline for analytics dashboards"
  • "Design an index mapping for multi-language content search"

Example Output

const results = await client.search({
  index: 'products',
  body: {
    query: {
      bool: {
        should: [
          { match: { 'name.autocomplete': { query: term, boost: 2 } } },
          { match: { name: { query: term, fuzziness: 'AUTO' } } }
        ],
        filter: [{ term: { status: 'active' } }]
      }
    },
    highlight: { fields: { name: {}, description: {} } }
  }
});

Real-World Use Case

An e-commerce platform with 500K products built autocomplete with edge_ngram, faceted filtering, typo tolerance, and relevance boosting by sales velocity — replacing a 2s SQL LIKE query with sub-50ms results.

Frequently Asked Questions

What is the Elasticsearch skill in Multos AI?

The Elasticsearch skill is a specialized AI capability within Multos AI that build powerful search experiences with elasticsearch indexing, queries, and aggregations. It activates automatically when your prompt relates to data tasks, providing expert-level guidance and production-ready code.

Do I need to configure Elasticsearch manually?

No. Multos AI uses intent detection to activate the Elasticsearch skill automatically when your request involves elasticsearch. There's no setup, no plugins to install, and no configuration files to manage.

Which AI models work best with Elasticsearch?

All 33 models on Multos AI can leverage the Elasticsearch skill. For complex data tasks, we recommend models with larger context windows like Claude Opus 4.6 (1M tokens) or Gemini 3.1 Pro (1M tokens). For quick iterations, faster models like GPT-5.4 Mini or Claude Haiku 4.5 work well.

Can I use Elasticsearch with my existing project?

Yes. You can connect your GitHub, GitLab, or Bitbucket repository to Multos AI and the Elasticsearch skill will work with your existing codebase. It understands your project structure, dependencies, and coding patterns to provide contextual assistance.

Is Elasticsearch available on the free plan?

Yes, all 70 agent skills including Elasticsearch are available on every plan. Free users get access to lite-tier models, while paid plans unlock more powerful models for complex data tasks.

Related Data Skills

Build with Elasticsearch on Multos AI

One of 70 expert skills that activate automatically. Start building now.

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