Update remote index build to announce fp16, byte and binary are supported with remote index. [3.2]

_vector-search/remote-index-build.md

@@ -15,6 +15,10 @@ OpenSearch supports building vector indexes using a GPU-accelerated remote index
 
 The remote index build service supports [Faiss]({{site.url}}{{site.baseurl}}/field-types/supported-field-types/knn-methods-engines/#faiss-engine) indexes with the `hnsw` method and the default 32-bit floating-point (`FP32`) vectors.
 
+As of OpenSearch 3.2, the `hnsw` method with [Faiss]({{site.url}}{{site.baseurl}}/field-types/supported-field-types/knn-methods-engines/#faiss-engine) supports 16-bit floating-point (`FP16`), byte, and binary vectors.
+With the `hnsw` method and the [Faiss]({{site.url}}{{site.baseurl}}/field-types/supported-field-types/knn-methods-engines/#faiss-engine) engine, all compression levels (2×, 8×, 16×, 32×) are supported for remote indexes.
+
+
 ## Prerequisites
 
 Before configuring the remote index build settings, ensure you fulfill the following prerequisites. For more information about updating dynamic settings, see [Dynamic settings]({{site.url}}{{site.baseurl}}/install-and-configure/configuring-opensearch/index/#dynamic-settings).
@@ -55,4 +59,4 @@ Once the remote index build service is configured, any segment flush and merge o
 - The index is using one of the [supported configurations](#supported-configurations).
 - The segment size is greater than `index.knn.remote_index_build.size.min` and less than `knn.remote_index_build.size.max`.
 
-You can monitor remote index build tasks by calling the k-NN Stats API and reviewing the [remote index build statistics]({{site.url}}{{site.baseurl}}/vector-search/api/knn/#remote-index-build-stats).
+You can monitor remote index build tasks by calling the k-NN Stats API and reviewing the [remote index build statistics]({{site.url}}{{site.baseurl}}/vector-search/api/knn/#remote-index-build-stats).