OpenSearch provides four editions. Each edition is optimized for a different type of workload. Use this page to find the edition that fits your use case.
| Edition | Best for |
|---|---|
| Industry Algorithm Edition | Intelligent search in e-commerce, content communities, and gaming |
| High-performance Search Edition | Big data search with real-time query and response within seconds |
| Vector Search Edition | Large-scale vector search for graph, audio, video, and NLP applications |
| Retrieval Engine Edition | Large data volumes with custom search algorithm requirements |
Industry Algorithm Edition
Add intelligent search without building ML pipelines from scratch
Industry Algorithm Edition includes pre-built semantic understanding and machine learning algorithms tuned for e-commerce, content communities, gaming, and educational Q&A. Lightweight custom models and search guidance let you adjust relevance without deep ML expertise.
| Use cases | E-commerce product search, content community discovery, in-game search, educational Q&A |
|---|---|
| Best fit | Small and medium-sized enterprises and developers who need intelligent search out of the box |
High-performance Search Edition
Real-time query and response within seconds for transactional search at scale
Search across orders, coupons, logistics records, and insurance policies with real-time query and response times within seconds. High-performance Search Edition is deeply optimized for big data search performance and delivers a one-stop solution for transactional workloads across multiple domains.
| Use cases | Order search, coupon lookup, logistics tracking, insurance policy retrieval |
|---|---|
| Best fit | Small and medium-sized enterprises and developers with high requirements for search performance, deployable out of the box |
Vector Search Edition
High-precision vector search for AI and large-scale data applications
Store and search across high-dimensional vectors using a large-scale distributed architecture that balances precision and performance. Vector Search Edition supports multiple search algorithms, streaming mode index building, and instant query — making it a fit for applications involving graph search, audio or video search, natural language processing (NLP) vector search, and intelligent Q&A.
| Use cases | Graph search, audio and video search, natural language processing (NLP) vector search, intelligent Q&A |
|---|---|
| Best fit | Enterprises and developers working with large-scale vectors who require flexible development |
Retrieval Engine Edition
Full control over search algorithms for large-scale data
Run high-performance, easy-to-use, large-scale online search services at low cost, with full control over search algorithm development and fast iteration. Retrieval Engine Edition suits teams that need to customize search logic across use cases such as enterprise information search, tag-based retrieval, and financial research report search.
| Use cases | Enterprise information search, tag-based retrieval, financial research report search, intelligent search |
|---|---|
| Best fit | Enterprises and developers managing large amounts of data who require flexible data development |