[E&A] Marks ELSER on EIS as GA (elastic#3014)

## Overview

Related to elastic/search-team#10758 and
elastic#3008

This PR:
* amends the `applies_to` tags relevant to ELSER on EIS to mark the
feature as GA
* adds a Pricing section that links to the pricing page
* removes limitations that are not relevant anymore

### Important note

**Serverless:**
After this PR is merged, the docs will state that ELSER on EIS is GA on
Serverless. **Only merge once the feature is actually released as GA on
Serverless.**

**Stack:**
If the PR is merged before the 9.2 release, the docs will show the GA
status on the stack as Planned, without referencing a specific version.
After the release, the badge will update dynamically to show the feature
as GA in 9.2.

---------

Co-authored-by: Sean Handley <[email protected]>
Co-authored-by: Liam Thompson <[email protected]>
Co-authored-by: Max Jakob <[email protected]>
Co-authored-by: florent-leborgne <[email protected]>

Author: 5 people

explore-analyze/elastic-inference/eis.md

@@ -9,64 +9,48 @@ applies_to:
 
 # Elastic {{infer-cap}} Service [elastic-inference-service-eis]
 
-The Elastic {{infer-cap}} Service (EIS) enables you to leverage AI-powered search as a service without deploying a model in your cluster.
+The Elastic {{infer-cap}} Service (EIS) enables you to leverage AI-powered search as a service without deploying a model in your environment.
 With EIS, you don't need to manage the infrastructure and resources required for {{ml}} {{infer}} by adding, configuring, and scaling {{ml}} nodes.
 Instead, you can use {{ml}} models for ingest, search, and chat independently of your {{es}} infrastructure.
 
 ## AI features powered by EIS [ai-features-powered-by-eis]
 
 * Your Elastic deployment or project comes with a default [`Elastic Managed LLM` connector](https://www.elastic.co/docs/reference/kibana/connectors-kibana/elastic-managed-llm). This connector is used in the AI Assistant, Attack Discovery, Automatic Import and Search Playground.
 
-* You can use [ELSER](/explore-analyze/machine-learning/nlp/ml-nlp-elser.md) to perform semantic search as a service (ELSER on EIS). {applies_to}`stack: preview 9.1` {applies_to}`serverless: preview`
+* You can use [ELSER](/explore-analyze/machine-learning/nlp/ml-nlp-elser.md) to perform semantic search as a service (ELSER on EIS). {applies_to}`stack: preview 9.1, ga 9.2` {applies_to}`serverless: ga`
 
 ## Region and hosting [eis-regions]
 
 Requests through the `Elastic Managed LLM` are currently proxying to AWS Bedrock in AWS US regions, beginning with `us-east-1`.
 The request routing does not restrict the location of your deployments.
 
-ELSER requests are managed by Elastic's own EIS infrastructure and are also hosted in AWS US regions, beginning with `us-east-1`. All Elastic Cloud hosted deployments and serverless projects in any CSP and region can access the endpoint. As we expand the service to Azure and GCP and more regions, we will automatically route requests to the same CSP and closest region the Elaticsearch cluster is hosted on. 
 
+ELSER requests are managed by Elastic's own EIS infrastructure and are also hosted in AWS US regions, beginning with `us-east-1`. All Elastic Cloud hosted deployments and serverless projects in any CSP and region can access the endpoint. As we expand the service to Azure and GCP and more regions, we will automatically route requests to the same CSP and closest region the Elaticsearch cluster is hosted on. 
 
 ## ELSER via Elastic {{infer-cap}} Service (ELSER on EIS) [elser-on-eis]
 
 ```{applies_to}
-stack: preview 9.1
-serverless: preview
+stack: preview 9.1, ga 9.2
+serverless: ga
 ```
 
-ELSER on EIS enables you to use the ELSER model on GPUs, without having to manage your own ML nodes. We expect significantly better performance for throughput and consistent search latency as compared to ML nodes, and will continue to benchmark, remove limitations and address concerns as we move towards General Availability.
+ELSER on EIS enables you to use the ELSER model on GPUs, without having to manage your own ML nodes. We expect better performance for ingest throughput than ML nodes and equivalent performance for search latency. We will continue to benchmark, remove limitations and address concerns.
 
 ### Using the ELSER on EIS endpoint
 
 You can now use `semantic_text` with the new ELSER endpoint on EIS. To learn how to use the `.elser-2-elastic` inference endpoint, refer to [Using ELSER on EIS](elasticsearch://reference/elasticsearch/mapping-reference/semantic-text.md#using-elser-on-eis).
 
 #### Get started with semantic search with ELSER on EIS
-[Semantic Search with `semantic_text`](/solutions/search/semantic-search/semantic-search-semantic-text.md) has a detailed tutorial on using the `semantic_text` field and using the ELSER endpoint on EIS instead of the default endpoint. This is a great way to get started and try the new endpoint.
-
-### Limitations
-
-While we do encourage experimentation, we do not recommend implementing production use cases on top of this feature while it is in Technical Preview.
 
-#### Uptime
-
-There are no uptime guarantees during the Technical Preview.
-While Elastic will address issues promptly, the feature may be unavailable for extended periods.
-
-#### Throughput and latency
+[Semantic Search with `semantic_text`](/solutions/search/semantic-search/semantic-search-semantic-text.md) has a detailed tutorial on using the `semantic_text` field and using the ELSER endpoint on EIS instead of the default endpoint. This is a great way to get started and try the new endpoint.
 
-{{infer-cap}} throughput via this endpoint is expected to exceed that of {{infer}} operations on an ML node.
-However, throughput and latency are not guaranteed.
-Performance may vary during the Technical Preview.
+### Limitations 
 
 #### Batch size
 
 Batches are limited to a maximum of 16 documents.
 This is particularly relevant when using the [_bulk API](https://www.elastic.co/docs/api/doc/elasticsearch/v9/operation/operation-bulk) for data ingestion.
 
-#### Rate limits 
-
-Rate limit for search and ingest is currently at 500 requests per minute. This allows you to ingest approximately 8000 documents per minute at 16 documents per request.
-
 ## Pricing 
 
 All models on EIS incur a charge per million tokens. The pricing details are at our [Pricing page](https://www.elastic.co/pricing/serverless-search) for the Elastic Managed LLM and ELSER.