This document describes the feature releases and updates for OpenSearch Vector Search Edition.
2026
May
Date | Feature | Type | Description |
2026-05 | Product feature updates | New | Introduces a vector caching feature that uses a cache table to automatically compare field content during data ingestion. The model recomputes vectors only for changed data, significantly reducing model API calls and computational costs. Introduces the object field type and nested query. You can now store multiple fields in a nested structure and use a nested query to retrieve data from it, supporting complex query models.
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April
Date | Feature | Type | Description |
2026-04 | Product feature updates | New | Adds a vector fusion feature that lets you use a multimodal model to encode content from multiple fields, such as text and image, into a single vector. This enables cross-modal retrieval. |
March
Date | Feature | Type | Description |
2026-03 | Product feature updates | New | Adds support for vector models from Model Studio. You can now vectorize multimodal data, such as text and images, during preprocessing for index building and queries. Supported models include multimodal and text vector models.
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2025
January
Date | Feature | Type | Description |
2025-01-02 | Product feature updates | New | The CAGRA algorithm now supports GPU acceleration. You can purchase GPU-based nodes to achieve significant performance improvements in high-QPS scenarios. Supports hybrid search. You can build an inverted index on text fields and use hybrid retrieval (a combination of full-text search and vector search) to improve search quality in RAG and semantic search scenarios. Adds support for range indexes. You can use a range index to query documents within a specific range. Using a range index instead of a range filter in a filter clause significantly improves performance. You can specify whether to create an index that has the same name as a field. Supports statistical syntax.
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2024
December
Date | Feature | Type | Description |
2024-12-05 | Product feature updates | New | Introduces the QGraph algorithm, an improvement on HNSW, which automatically quantizes raw data during index building. This reduces index size to 1/8 of the original and delivers performance several times that of HNSW. Supports the JSON format for files from a full data source in Object Storage Service (OSS).
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September
Date | Feature | Type | Description |
2024-09-27 | Product feature updates | New | Integrates with AI Search Open Platform, allowing you to call platform model services, such as embedding and the OCR service, directly from the console when configuring fields. Supports automatic data cleanup based on time to live (TTL). Supports custom resource policies for table loading.
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2024-09-10 | Product feature updates | New | Supports Data Lake Formation (DLF) as a full data source.
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July
Date | Feature | Type | Description |
2024-07-01 | Product feature updates | New | Adds a log query feature for viewing query and write logs. Supports table aliases. Supports custom default values for fields.
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June
Date | Feature | Type | Description |
2024-06-04 | Feature optimization | Optimized | Improved table creation time. Supports adjusting the number of QRS worker replicas. Improved the API.
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March
Date | Feature | Type | Description |
2024-03-26 | Product feature updates | New | The console now supports vector data management, including adding, deleting, and previewing data. Updated monitoring metrics. Improved the Change History FSM. Shard decoupling: The number of table shards is now decoupled from the number of Searcher workers, and shard counts are also decoupled between tables. Supports adding remarks to fields. Supports schema import and export.
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January
Date | Feature | Type | Description |
2024-01-17 | Product feature updates | New | The console supports primary key queries, image or text uploads for search, and hybrid queries. Supports multi-subject recognition for image search.
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2024-01-08 | Product feature updates | New | Supports hybrid retrieval. Supports configuring multiple vectors for a single document. Adds a new text-to-vector model that supports automatic vectorization for Chinese and English text with token lengths of 128, 512, and 1024.
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2023
December
Date | Feature | Type | Description |
2023-12-26 | Instance specification adjustment | New | Supports purchasing a single Searcher worker. |
October
Date | Feature | Type | Description |
2023-10-12 | Instance specification adjustment | New | New, smaller node specifications are available: QRS workers start at 2 vCPUs and 8 GB of memory, and Searcher workers start at 2 vCPUs and 16 GB of memory. QRS workers and Searcher workers support both cloud disk and SSD types.
Each single instance now includes 100 GB of free index storage. Adjusted the instance rental fee.
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2023-10-10 | Product feature updates | New | Adds an enhanced e-commerce image-to-vector model. Supports resource updates based on data changes from the current full version.
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August
Date | Feature | Type | Description |
2023-08-31 | Product feature updates | New | Table configuration now supports Object Storage Service (OSS) data sources. Removes the TEXT field type.
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July
Date | Feature | Type | Description |
2023-07-21 | Product redesign | New | OpenSearch Vector Search Edition is now generally available. |
June
Date | Feature | Type | Description |
2023-06-07 | Product feature updates | New | Adds the ignore_invalid_doc and enable_rt_build configurations for vector indexes. Supports configuring an instance alert at the account level. Adds the Pause Switch feature. Supports dictionary content upload from a file. Adds an incremental text vector template.
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March
Date | Feature | Type | Description |
2023-03-30 | Product feature updates | New | Introduces end-to-end image search. This includes support for image embedding to enable text-to-image search and image-to-image search. Supports data compression for fields, attributes, and indexes. Adds internet access and IP whitelist features. Adds support for data retrieval by using a RESTful API. Adds the Vector: Image Search template.
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January
Date | Feature | Type | Description |
2023-01-09 | Product feature updates | New | Adds multiple built-in analyzers, including an entertainment content analyzer, a general English e-commerce analyzer, an IT content analyzer, an e-commerce analyzer, a person name analyzer, and a geographic location analyzer. All built-in analyzers support dictionary intervention. Supports user-defined multi-value delimiters. Infrequently used advanced configuration parameters for vector indexes are collapsed by default to simplify configuration and O&M. Adds alert monitoring for when the index change rate exceeds a specified threshold or when full and incremental updates are not completed within a specified period. You can customize alert thresholds. The Change History page now displays offline full-build metrics, which allows you to monitor the build process.
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2022
September
Date | Feature | Type | Description |
2022-09-21 | Product feature updates | New | Removes the DUP requirement for vector fields, adds field order restrictions for vector indexes, expands the field types supported by vector indexes, and adds default values for advanced vector index configurations to simplify setup. Supports setting a timestamp by using natural time. On the Deployment Management page, you can switch index tables to go live. All data sources, index tables, and clusters are displayed on the Deployment Management page.
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August
Date | Feature | Type | Description |
2022-08-16 | Product feature updates | New | 1. Adds an index data recovery feature and a quick shard scaling feature. 2. Improved the alert feature and adds a default alert for the Vector Search Edition. |
May
Date | Feature | Type | Description |
2022-05-20 | Product feature updates | New | 1. Includes quick cluster scale-out, click-based configuration for index structures, addition of query configuration to online configurations, and scenario-based instance O&M. 2. Vectors can be used as plug-ins in the sorting phase. Supports multi-value indexes and range indexes. |
2021
December
Date | Feature | Type | Description |
2021-12-31 | Official release of OpenSearch Vector Search Edition | New | OpenSearch Vector Search Edition is officially released. It provides a highly available, low-latency, and cost-effective solution with an automated O&M system for building custom search services. |