Scenarios and benefits
Edition | Scenario | Benefit |
LLM-Based Conversational Search Edition | Applicable to conversational search scenarios such as intelligent customer service and enterprise knowledge base. Applicable to multiple industries such as e-commerce, content community operations, and education. |
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Industry Algorithm Edition | Applicable to enterprises and developers who require a one-stop solution for quickly constructing intelligent industry-specific search systems, industry best practices, industry query analysis algorithms, industry sort models, customized tuning models, and reliable search performance. Key industries include e-commerce, gaming, content community operations, and education. |
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High-performance Search Edition | Applicable to enterprises and developers who require high performance in big data search scenarios, such as searches for orders, coupons, logistics, and insurance policies. High-performance Search Edition provides a one-stop solution for the quick construction of search systems in a cost-efficient manner. |
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Vector Search Edition | Applicable to enterprises and developers who have online vector retrieval requirements for scenarios such as graph or text searches, audio or video searches, NLP vector searches, Q&A, recommendation, and risk monitoring. Vector Search Edition is also suitable for those who are concerned about the performance, effectiveness, and stability of the search service. |
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Retrieval Engine Edition | Applicable to enterprises and developers who have large-scale text retrieval scenarios and require a high-performance, cost-effective, and customized search service. |
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Feature comparison
Feature | Industry Algorithm Edition | High-performance Search Edition | Retrieval Engine Edition | Vector Search Edition | LLM-Based Conversational Search Edition |
Data source | ApsaraDB RDS, MaxCompute, PolarDB, and API | ApsaraDB RDS, MaxCompute, PolarDB, and API | Object Storage Service (OSS), MaxCompute, and API | OSS, MaxCompute, and API | MaxCompute and API |
Table schema | Offline LEFT JOIN operation on multiple tables | Online JOIN operation on multiple tables, which is supported only for storage-optimized exclusive clusters | Online JOIN operation on multiple tables | Independent tables | Offline JOIN operation on built-in fixed table schema and custom table schema |
Data update | Data updates by calling API operations or using the SDK, and automatic data synchronization by using change tracking Data Transmission Service (DTS) instances | Data updates by calling API operations or using the SDK, or automatic data synchronization by using change tracking DTS instances | Data updates by calling API operations or using the SDK | Data updates by calling API operations or using the SDK | Data updates by calling API operations or using the SDK |
Data backup | If an application has no data source, the application can inherit data from the online application. | Not supported | API data source, which supports data restoration from historical indexes. | API data source, which supports data restoration from historical indexes. | Not supported |
Index type | Text index and vector index | Text index | Text index and vector index | Vector index | Text index and vector index |
Analyzer | Industry-specific analyzer, multi-language analyzer, general-purpose analyzer, and lightweight custom analyzer | Multi-language analyzer and general-purpose analyzer | Industry-specific analyzer, multi-language analyzer, and general-purpose analyzer | Primary key and vector indexes | Text and vector analyzers |
Intervention in text analysis | Supported | Supported | Supported | Not supported | Not supported |
Semantic understanding | Stop word filtering, spelling correction, term weight analysis, synonym configuration, named entity recognition (NER), and custom query analysis | Not supported | Not supported | Not supported | Not supported |
Sort method | Sort expressions, sort plug-ins (Cava scripts), and sort algorithms (CTR models and category prediction models) | Sort expressions and sort plug-ins (Cava scripts) | Sort expressions | Sort by vector proximity | Sort expressions |
Search guidance: drop-down suggestions and hints | Supported | Not supported | Not supported | Not supported | Not supported |
SQL syntax | Not supported | Supported only for storage-optimized exclusive clusters | Supported | Not supported | Not supported |
A/B test | Supported | Not supported | Not supported | Not supported | Not supported |
Business report | Supported | Supported | Not supported | Not supported | Not supported |
Monitoring and alerting | Supported | Supported | Supported | Supported | Not supported |
Slow query optimization | Supported | Supported | Not supported | Not supported | Not supported |
Automation level | O&M-free | O&M-free | Self-service O&M based on the provided monitoring metrics | Self-service O&M based on the provided monitoring metrics | O&M-free |
Supported regions
Region | Industry Algorithm Edition | High-performance Search Edition | Vector Search Edition | Retrieval Engine Edition | LLM-Based Conversational Search Edition |
China (Hangzhou) | ✓ | ✓ | ✓ | ✓ | |
China (Shanghai) | ✓ | ✓ | ✓ | ✓ | ✓ |
China (Qingdao) | ✓ | ✓ | |||
China (Beijing) | ✓ | ✓ | ✓ | ✓ | |
China (Zhangjiakou) | ✓ | ✓ | ✓ | ✓ | |
China (Shenzhen) | ✓ | ✓ | ✓ | ✓ | |
China (Hong Kong) | ✓ | ||||
Singapore | ✓ | ✓ | ✓ | ✓ | ✓ |
Germany (Frankfurt) | ✓ | ✓ | ✓ | ||
US (Virginia) | ✓ | ✓ |
OpenSearch editions are renamed. The original Standard Edition is renamed High-performance Search Edition, and the original Advanced Edition is renamed Industry Algorithm Edition.
The OpenSearch Open Source Compatible Edition is not available for new users.