diff --git a/_about/version-history.md b/_about/version-history.md
index a7eb30a998..892230ad63 100644
--- a/_about/version-history.md
+++ b/_about/version-history.md
@@ -10,6 +10,7 @@ canonical_url: https://opensearch.org/docs/latest/version-history/
 
 OpenSearch version | Release highlights | Release date  
 :--- | :--- | :--- 
+[2.17.0](https://github.com/opensearch-project/opensearch-build/blob/main/release-notes/opensearch-release-notes-2.17.0.md) | Includes disk-optimized vector search, binary quantization, and byte vector encoding in k-NN. Adds asynchronous batch ingestion for ML tasks. Provides search and query performance enhancements and a new custom trace source in trace analytics. Includes application-based configuration templates. For a full list of release highlights, see the Release Notes. | 17 September 2024
 [2.16.0](https://github.com/opensearch-project/opensearch-build/blob/main/release-notes/opensearch-release-notes-2.16.0.md) | Includes built-in byte vector quantization and binary vector support in k-NN. Adds new sort, split, and ML inference search processors for search pipelines. Provides application-based configuration templates and additional plugins to integrate multiple data sources in OpenSearch Dashboards. Includes an experimental Batch Predict ML Commons API. For a full list of release highlights, see the Release Notes. | 06 August 2024
 [2.15.0](https://github.com/opensearch-project/opensearch-build/blob/main/release-notes/opensearch-release-notes-2.15.0.md) | Includes parallel ingestion processing, SIMD support for exact search, and the ability to disable doc values for the k-NN field. Adds wildcard and derived field types. Improves performance for single-cardinality aggregations, rolling upgrades to remote-backed clusters, and more metrics for top N queries. For a full list of release highlights, see the Release Notes. | 25 June 2024
 [2.14.0](https://github.com/opensearch-project/opensearch-build/blob/main/release-notes/opensearch-release-notes-2.14.0.md) | Includes performance improvements to hybrid search and date histogram queries with multi-range traversal, ML model integration within the Ingest API, semantic cache for LangChain applications, low-level vector query interface for neural sparse queries, and improved k-NN search filtering. Provides an experimental tiered cache feature. For a full list of release highlights, see the Release Notes. | 14 May 2024