[DOCS] Adds General Purpose LLM v2 connector docs

docs/reference/connectors-kibana/elastic-managed-llm.md

@@ -1,31 +1,54 @@
 ---
-navigation_title: "Elastic Managed LLM"
+navigation_title: "Elastic Managed LLMs"
 applies_to:
     stack: ga 9.0
     serverless: ga
 ---
 
-# Elastic Managed LLM
+# Elastic Managed LLMs
 
-Elastic provides a default LLM vetted for GenAI product features across our platform.
-Details of the currently used model are available in the [model card](https://raw.githubusercontent.com/elastic/kibana/refs/heads/main/docs/reference/resources/Elastic_Managed_LLM_model_card.pdf).
+Elastic provides built-in LLMs through the Elastic Managed LLM connector vetted for GenAI product features across our platform.
+Currently, the following built-in LLMs are available:
+
+* [General Purpose LLM v2](#general-purpose-llm-v2)
+* [General Purpose LLM v1](#general-purpose-llm-v1)
+
+## General Purpose LLM v2
+```{applies_to}
+stack: ga 9.3
+serverless: ga
+```
+
+A high-performance, general-purpose language model suitable for the widest range of use cases.
+Model details are available in the [model card](https://raw.githubusercontent.com/elastic/kibana/refs/heads/main/docs/reference/resources/General_Purpose_LLM_v2_model_card.pdf).
+
+## General Purpose LLM v1
+```{applies_to}
+stack: ga 9.0
+serverless: ga
+```
+
+General Purpose LLM v1 is the default LLM to use with this connector.
 
 ::::{note}
-The default LLM may change in the future based on evaluations of performance, security, and accuracy.
+* The default LLM may change in the future based on evaluations of performance, security, and accuracy.
+* This LLM was called Elastic Managed LLM before 9.3.
 ::::
 
+Details of the currently used model are available in the [model card](https://raw.githubusercontent.com/elastic/kibana/refs/heads/main/docs/reference/resources/Elastic_Managed_LLM_model_card.pdf).
+
 ## Prerequisites
 
 * Requires the `manage_inference` [cluster privilege](https://www.elastic.co/docs/reference/elasticsearch/security-privileges#privileges-list-cluster) (the built-in `inference_admin` role grants this privilege)
 
 ## Region and hosting
 
-The Elastic Managed LLM is currently proxying to AWS Bedrock in AWS US regions, beginning with `us-east-1`.
+The Elastic Managed LLMs user a third party service provider for inference. Currently, this is AWS Bedrock in AWS US regions, beginning with `us-east-1`. Additional providers may be added in future.
 
 ## Data protection
 
-Customer projects or deployments hosted in any cloud service provider or region have access to the Elastic Managed LLM in the AWS US region `us-east-1`.
-All data is encrypted in transit. The LLM is configured for zero data retention: none of the prompts or outputs are stored by the model.
+Customer projects or deployments hosted in any cloud service provider or region have access to the Elastic Managed LLMs in the AWS US region `us-east-1`.
+All data is encrypted in transit. The LLMs are configured for zero data retention: none of the prompts or outputs are stored by the service provider.
 
 Only request metadata is logged in AWS CloudWatch.
 No information related to prompts is retained.
@@ -35,6 +58,4 @@ Read more at our [AI Data FAQs](https://www.elastic.co/trust/ai-data-faq) to lea
 
 ## Pricing
 
-The Elastic Managed LLM incurs a cost per million tokens for input and output tokens. Refer to the Elastic Cloud [pricing pages](https://www.elastic.co/pricing) for details. 
-
-
+The Elastic Managed LLMs incur a cost per million tokens for input and output tokens. Refer to the Elastic Cloud [pricing pages](https://www.elastic.co/pricing) for details.