SEARCH APIs & DEVELOPER TOOLS

The most extensive search toolkit for developers

Fast, flexible tools, robust APIs, and the trusted power of Elasticsearch allow development teams to build Search AI applications with text search, vector search, hybrid search, semantic search, and other machine learning capabilities — all to your exact specifications.

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Test the latest AI search capabilities with AI Playground, now in Elasticsearch.

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Hybrid conversational search is ready for production, enabling powerful RAG and conversational search experiences.

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Learn how to easily utilize Elasticsearch to build advanced search experiences.

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Elasticsearch — the most widely deployed vector database

Copy to try locally in two minutes

curl -fsSL https://elastic.co/start-local | sh
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Firm footing for building any search experience

For decades, developers have relied on the speed, scale, and relevance of Elasticsearch for building their most important search functionality.

  • FLEXIBLE INGESTION

    Any platform, any data, anywhere

    Index, enrich, and sync data your way with connectors, open crawler, API, or JSON import.

  • ANALYZE. TUNE. REPEAT

    Real-time intelligence, actionable insights

    Get visibility into user behavior with behavioral analytics to make necessary improvements and adjustments.

  • Future-proof search

    ML & vector search-powered

    Add proprietary data to LLMs and generative AI for more relevance and accuracy. Find similar data instantly with vector search powered by machine learning.

  • Semantic Search

    Find what you mean

    Get results matching the true meaning of your query using our out-of-the-box NLP model, ELSER.

  • Geospatial

    Blazing fast geospatial queries

    Store and query geospatial data at top speed with Elasticsearch. Use Kibana to visualize, detect anomalies, and easily solve location-based challenges.

  • Hybrid Search

    A search technique for the best of both worlds

    Combine lexical keyword search with the contextual understanding of semantic search with Reciprocal Rank Fusion (RRF) to deliver a unified, superior result set.

Retrieval Augmented Generation

Enhance your RAG workflows with Elasticsearch

Discover how using Elastic for RAG workflows enhances generative AI experiences. Easily sync to real-time information using proprietary data sources to get the best, most relevant generative AI responses.

COMPOSABILITY

Semantic search made simple

Implement semantic search in minutes syncing real-time data from proprietary sources for relevant generative AI responses. Bring your own data, use ELSER (E5 for multilingual), or the inference API to apply a model of your choice. Then connect to an index with the semantic_text data type, sync, and start exploring instantly with Elastic Playground.

Retrievers

Abstract away with retrievers

Use retrievers (standard, kNN, RRF), now generally available (GA), to handle complex search operations. Easily integrate them into retriever trees, allowing modular, composable search pipelines. Test different retrieval strategies, fine-tune scoring, apply filters, and optimize performance while maintaining backward compatibility with traditional queries.

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