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Signed-off-by: Sayali Gaikawad <[email protected]>

release-notes/opensearch-release-notes-2.13.0.md

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 OpenSearch 2.13 includes several new features designed to help you build AI-powered applications, along with upgrades to help you access and analyze your operational data, and new ways to support resiliency for your OpenSearch clusters.
 
 <h2>NEW FEATURES</h2>
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 <li>The OpenSearch flow framework is generally available, allowing you to automate the configuration of search and ingest pipeline resources required by advanced search features like semantic, multimodal, and conversational search.</li>
 
 <li>AI connectors receive several enhancements, including predefined templates that let you automate setup for machine learning models that are integrated through OpenSearch connectors to APIs such as those from OpenAI, Amazon Bedrock, and Cohere. New settings for AI connectors allow users to configure timeouts and automatically deploy models.</li>
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 <li>This release adds I/O-based admission control, a proactive mechanism designed to support cluster resiliency by protecting against spikes or increases in capacity if a cluster’s I/O usage breaches a defined threshold.</li>
 
 <li>New cross-cluster monitors are added to the alerting plugin, allowing you to manage alerts across clusters. This release also introduces the option to set up a cluster that is dedicated to alerting, separating alerting resources from indexing and querying workloads.</li>
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 <h2>RELEASE DETAILS</h2>
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