Building a high-quality search experience is hard. Users expect fast, relevant results — the kind they get from Amazon or Google — but standing up a distributed search infrastructure from scratch takes months of engineering work and a dedicated team to keep it running. OpenSearch removes that barrier.
OpenSearch is an all-in-one platform as a service (PaaS) for developing commercial intelligent search services, built on a large-scale distributed search engine developed by Alibaba Cloud. It provides mid-end services for the core search business of Taobao, Tmall, and Cainiao — including traffic peaks during Double 11 — and is available to you as a fully managed service. Instead of building and operating your own search stack, create an instance, connect your data, and start serving queries.
Use cases
OpenSearch supports a broad range of search scenarios:
E-commerce product catalog search and ranking
Content community search with semantic understanding
Conversational search interfaces backed by large language models (LLMs)
Vector-based similarity search for recommendations, Q&A, and audio/video retrieval
High-throughput query workloads over large datasets
Cost-sensitive retrieval workloads requiring SQL query support
How it works
Getting a search service running takes four steps:
Create an OpenSearch instance.
Configure the instance.
Synchronize or upload documents.
Send search requests from your application or web client via API and get results.
Choose an edition
OpenSearch offers six editions. Use this table to find the one that fits your workload.
| Need | Edition | Platform | Best for |
|---|---|---|---|
| Custom search pipeline development | Search development workbench | — | Developers building and tuning bespoke search workflows |
| Chat-style search grounded in your business data | LLM-based Conversational Search Edition | SaaS | Teams that want to add a conversational interface without building an LLM pipeline |
| Industry-optimized search with built-in algorithm packages | Industry Algorithm Edition | SaaS | E-commerce, content, gaming, and education platforms |
| High-throughput search over large datasets | High-performance Search Edition | SaaS | Applications requiring real-time queries at scale |
| Semantic and multimodal search using embeddings | Vector Search Edition | PaaS | Graph search, audio/video search, recommendations, and Q&A |
| SQL-based retrieval with low storage costs | Retrieval Engine Edition | PaaS | Workloads with large indexes and cost-sensitive query patterns |
Edition architecture
LLM-based Conversational Search Edition
A software as a service (SaaS) platform accessible through the OpenSearch console or API operations.
Import your business data to create a conversational search model backed by LLMs and leading natural language processing (NLP) models. The edition returns results in conversational mode, with built-in controls for security, stability, quality, and reliability.
Industry Algorithm Edition
A SaaS platform accessible through the OpenSearch console or API operations.
Create an instance, configure the data source, fields, and search attributes, and test after reindexing completes — via SDK or directly in the OpenSearch console. Industry-specific algorithm packages for e-commerce, content community, gaming, and education come pre-built, giving you semantic understanding, sorting, and search guidance without custom model work.
High-performance Search Edition
A SaaS platform accessible through the OpenSearch console or API operations.
Setup follows the same scenario-based configuration flow as Industry Algorithm Edition. The edition trades industry-specific algorithm packages for maximum query and write throughput, providing common search capabilities such as analyzers and sorting, with second-level response times and real-time query support on large datasets.
Vector Search Edition
A PaaS platform managed through a visual management platform.
Create an instance, configure the cluster, data source, and index table, then test after reindexing via SDK or directly in the OpenSearch console. The edition is highly reliable and combines inverted indexes and vector indexes, supporting a variety of query parameters and combined search modes. It is designed for graph search, audio/video search, recommendations, and Q&A.
Retrieval Engine Edition
A PaaS platform managed through a visual management platform.
Setup follows the same scenario-based configuration flow as Vector Search Edition. The edition supports SQL query syntax to reduce learning costs and includes built-in index compression policies to lower business costs.
Next steps
Create an OpenSearch instance
Compare editions in detail
Explore the API reference