avichaym commented on code in PR #680:
URL: https://github.com/apache/flink-agents/pull/680#discussion_r3298177543
##########
docs/content/docs/development/vector_stores.md:
##########
@@ -642,6 +642,204 @@ public static ResourceDescriptor vectorStore() {
{{< /tabs >}}
+### Amazon OpenSearch
+
+[Amazon
OpenSearch](https://docs.aws.amazon.com/opensearch-service/latest/developerguide/)
is a managed vector search service available in two flavors: OpenSearch
Service (provisioned domains) and OpenSearch Serverless (AOSS). The Flink
Agents integration supports both via a single `service_type` parameter, with
IAM (SigV4) or basic authentication.
+
+{{< hint info >}}
+Amazon OpenSearch is only supported in Java currently. To use Amazon
OpenSearch from Python agents, see [Using Cross-Language
Providers](#using-cross-language-providers).
+{{< /hint >}}
+
+{{< hint info >}}
+Amazon OpenSearch implements `CollectionManageableVectorStore`, enabling
[Long-Term Memory]({{< ref "docs/development/memory/long_term_memory" >}})
support. Collections map to OpenSearch indices, with collection metadata stored
in a dedicated `flink_agents_collection_metadata` index.
Review Comment:
Thanks @xintongsong for the review. All three asks addressed :
* Fixed the inaccurate flink_agents_collection_metadata claim - replaced
with text matching the Javadoc (collection metadata is ignored, OpenSearch
indices don't natively support arbitrary metadata).
* Moved Amazon Bedrock / Amazon OpenSearch / Amazon S3 Vectors to
alphabetical position in each file (they now sort first).
*Rebased onto latest main, dropping the stale commit.
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