OpenSearch Vector Search Edition is a large-scale distributed search engine developed by Alibaba Group. Built on C++ and running in production across Alibaba's core platforms — including Taobao, Tmall, Cainiao, Youku, and other e-commerce platforms provided for customers outside the Chinese mainland — it provides high-availability vector search with real-time data updates and automated operations and maintenance (O&M). It is also the base engine of Alibaba Cloud OpenSearch.
When to use OpenSearch Vector Search Edition
| Scenario | Why it fits |
|---|
| Core search applications requiring high stability | C++ foundation, 10+ years of production use across Alibaba's platforms |
| Time-sensitive queries where updates must reflect in seconds | Real-time incremental indexing with seconds-level latency |
| Large-scale datasets that outgrow single-node capacity | Distributed sharding across Searcher workers |
| Cost-sensitive workloads | Multiple index compression policies and multi-value index loading strategies reduce resource usage |
Key concepts
| Term | Definition |
|---|
| Vector table | The primary data organization unit; each table is independently queried and managed |
| QRS workers | Stateless entry-point nodes that route, parse, and merge search requests |
| Searcher workers | Index-bearing nodes that retrieve, filter, and rank documents |
| Shard | A partition of an index; hash values fall within [0, 65535] |
| Broadcast table | A table replicated in full to every Searcher worker |
| Data update node | A node that consumes incremental data and feeds Searcher workers for real-time indexing |
| Full indexing | A one-time rebuild of an index from a complete data snapshot |
| Incremental indexing | A continuous process that applies updates to a live index after full indexing completes |
| O&M | Operations and maintenance; managed by the platform's management system |