elastic · leemthompo · Feb 4, 2025 · Feb 4, 2025
@@ -14,6 +14,7 @@ Serverless projects use the core components of the {{stack}}, such as {{es}} and
 Elastic provides three serverless solutions available on {{ecloud}}:
 
 * **https://www.elastic.co/guide/en/serverless/current/what-is-elasticsearch-serverless.html[{{es-serverless}}]**: Build powerful applications and search experiences using a rich ecosystem of vector search capabilities, APIs, and libraries.
+% See solutions/search/serverless-elasticsearch-get-started.md
 * **https://www.elastic.co/guide/en/serverless/current/what-is-observability-serverless.html[{{obs-serverless}}]**: Monitor your own platforms and services using powerful machine learning and analytics tools with your logs, metrics, traces, and APM data.
 * **https://www.elastic.co/guide/en/serverless/current/what-is-security-serverless.html[{{sec-serverless}}]**: Detect, investigate, and respond to threats with SIEM, endpoint protection, and AI-powered analytics capabilities.
 

@@ -571,7 +571,6 @@ toc:
       - file: docs-content/serverless/spaces.md
       - file: docs-content/serverless/tags.md
       - file: docs-content/serverless/transforms.md
-      - file: docs-content/serverless/what-is-elasticsearch-serverless.md
       - file: docs-content/serverless/what-is-observability-serverless.md
   - file: elasticsearch-hadoop/elasticsearch-hadoop/index.md
     children:
@@ -649,7 +648,6 @@ toc:
       - file: elasticsearch/elasticsearch-reference/saml-realm.md
       - file: elasticsearch/elasticsearch-reference/scalability.md
       - file: elasticsearch/elasticsearch-reference/search-analyze.md
-      - file: elasticsearch/elasticsearch-reference/search-with-elasticsearch.md
       - file: elasticsearch/elasticsearch-reference/search-with-synonyms.md
       - file: elasticsearch/elasticsearch-reference/search-your-data.md
       - file: elasticsearch/elasticsearch-reference/secure-cluster.md

@@ -6,7 +6,38 @@
 
 # Search
 
-% What needs to be done: Refine
+{{es}} enables you to build powerful search experiences for websites, applications, and enterprise data using Elastic's unified platform.
+
+## Use cases
+
+Here are a few common real-world applications:
+
+| Use case                             | Business goals                                                     | Technical requirements                                        |
+| ------------------------------------ | ------------------------------------------------------------------ | ------------------------------------------------------------- |
+| **Ecommerce/product catalog search** | Provide fast, relevant, and up-to-date results, faceted navigation | Inventory sync, user behavior tracking, results caching       |
+| **Workplace/knowledge base search**  | Search across range of data sources, enforcing permissions         | Third-party connectors, document-level security, role mapping |
+| **Website search**                   | Deliver relevant, up-to-date results                               | Web crawling, incremental indexing, query caching             |
+| **Customer support search**          | Surface relevant solutions, manage access controls, track metrics  | Knowledge graph, role-based access, analytics                 |
+| **Chatbots/RAG**                     | Enable natural conversations, provide context, maintain knowledge  | Vector search, ML models, knowledge base integration          |
+| **Geospatial search**                | Process location queries, sort by proximity, filter by area        | Geo-mapping, spatial indexing, distance calculations          |
+
+## Core implementation decisions
+
+% TODO add diagram
+
+Building a search experience with {{es}} requires a number of fundamental implementation decisions:
+
+1. [**Deployment**](/deploy-manage/index.md): Where will you run Elastic?
+1. [**Ingestion**](search/ingest-for-search.md): What tools will you use to get your content into {{es}}? 
+1. [**Search approaches**](search/search-approaches.md): What search techniques and algorithms will you use to find relevant results? 
+1. **Implementation tools**: How will you write queries and interact with {{es}}?
+   - Which [programming language client]() matches your application?
+   - Which API endpoints and [query language(s)](search/querying-for-search.md) will you use to express your search logic?
+
+Each decision builds on the previous ones, offering flexibility to mix and match approaches based on your needs.
+
+% TODO update/add URLs
+
 
 % Scope notes: surface key features buried in the search APIs, turn some of the API doc content into feature-specific tutorials  needs some polish to separate use cases from technologies
 

@@ -12,7 +12,6 @@ Would you prefer to jump straight into a hands-on tutorial? Refer to our quick s
 
 ::::
 
-
 Full-text search, also known as lexical search, is a technique for fast, efficient searching through text fields in documents. Documents and search queries are transformed to enable returning [relevant](https://www.elastic.co/what-is/search-relevance) results instead of simply exact term matches. Fields of type [`text`](https://www.elastic.co/guide/en/elasticsearch/reference/current/text.html#text-field-type) are analyzed and indexed for full-text search.
 
 Built on decades of information retrieval research, full-text search delivers reliable results that scale predictably as your data grows. Because it runs efficiently on CPUs, {{es}}'s full-text search requires minimal computational resources compared to GPU-intensive vector operations.
@@ -69,7 +68,6 @@ Learn about the core components of full-text search:
 
 * [Text fields](https://www.elastic.co/guide/en/elasticsearch/reference/current/text.html)
 * [Text analysis](full-text/text-analysis-during-search.md)
-
     * [Tokenizers](https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-tokenizers.html)
     * [Analyzers](https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-analyzers.html)
 

@@ -1,5 +1,24 @@
 # Get started with {{es}} Serverless [elasticsearch-get-started]
 
+::::{tip}
+Not sure whether {{es}} on {{serverless-full}} is the right deployment choice for you?
+
+Check out the following resources to help you decide:
+- [What’s different?](/deploy-manage/deploy/elastic-cloud/differences-from-other-elasticsearch-offerings.md): Understand the differences between {{serverless-full}} and other deployment types.
+- [Billing](/deploy-manage/cloud-organization/billing/elasticsearch-billing-dimensions.md): Learn about the billing model for {{es}} on {{serverless-full}}.
+::::
+
+## What is {{es-serverless}}? [what-is-elasticsearch-serverless]
+
+
+{{es-serverless}} is one of the three available project types on [{{serverless-full}}](/deploy-manage/deploy.md).
+
+This project type enables you to use the core functionality of {{es}}: searching, indexing, storing, and analyzing data of all shapes and sizes.
+
+When using {{es}} on {{serverless-full}} you don’t need to worry about managing the infrastructure that keeps {{es}} distributed and available: nodes, shards, and replicas. These resources are completely automated on the serverless platform, which is designed to scale up and down with your workload.
+
+This automation allows you to focus on building your search applications and solutions.
+
 On this page, you will learn how to:
 
 * [Create an {{es-serverless}} project](get-started.md#elasticsearch-get-started-create-project).
@@ -10,7 +29,6 @@
     * [Option 3: Explore on your own](get-started.md#elasticsearch-explore-on-your-own): If you’re already familiar with {{es}}, retrieve your connection details, select an ingest method that suits your needs, and start searching.
 
 
-
 ## Create an {{es-serverless}} project [elasticsearch-get-started-create-project]
 
 Use your {{ecloud}} account to create a fully-managed {{es}} project:
@@ -70,7 +88,7 @@

 To get started using the in-product tutorial, navigate to the **Getting Started** page and follow the on-screen steps.

 :::{image} ../../../images/serverless-getting-started-page.png
 :alt: Getting Started page.
 :::