Edit Elasticsearch getting started landing page

solutions/search/get-started.md

@@ -5,28 +5,73 @@ mapped_pages:
 applies_to:
   stack:
   serverless:
+    elasticsearch: all
 products:
   - id: elasticsearch
   - id: cloud-serverless
+navigation_title: Get started
+description: To try out an {{es}} project or solution, pick your deployment type, search goals, and ingestion method.
 ---
 
-# Get started
+# Get started with {{es}}
 
-## Core implementation decisions
+New to {{es}}? Start building a search experience by setting up your first deployment, refining your search goals, and adding data.
 
-% TODO add diagram
+:::{note}
+If you're looking for an introduction to the {{stack}} or the {{es}} product, go to [](/get-started/index.md) or [](/manage-data/data-store.md).
+:::
 
-Building a search experience with {{es}} requires a number of fundamental implementation decisions:
+:::::{stepper}
+::::{step} Choose your deployment type
 
-1. [**Deployment**](/deploy-manage/index.md): Where will you run Elastic?
-1. [**Ingestion**](ingest-for-search.md): What tools will you use to get your content into {{es}}?
-1. [**Search approaches**](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)](querying-for-search.md) will you use to express your search logic?
+Elastic provides several self-managed and Elastic-managed options.
+For simplicity and speed, try out [{{es-serverless}}](/solutions/search/serverless-elasticsearch-get-started.md).
 
+Alternatively, create a [local development installation](/deploy-manage/deploy/self-managed/local-development-installation-quickstart.md) in Docker:
+
+```sh
+curl -fsSL https://elastic.co/start-local | sh
+```
+
+Check out the full list of [deployment types](/deploy-manage/deploy.md#choosing-your-deployment-type) to learn more.
+::::
+
+::::{step} Identify your search goals
+Depending on your use case, you can choose multiple [search approaches](search-approaches.md), for example full-text and semantic search.
+Each approach affects your options for storing and querying your data.
+
+If you're unsure which approaches match your goals, you can try them out with sample data. For example, [](/solutions/search/get-started/semantic-search.md).
+
+If you prefer to ingest your data first and transform or reindex it as needed later, skip to the next step.
+::::
+::::{{step}} Ingest your data
+
+If your goals include vector or semantic AI-powered search, create vectorized data with built-in and third-party natural language processing (NLP) models and store it in an {{es}} vector database.
+The approach that requires the least configuration involves adding `semantic_text` fields when ingesting your data.
+This method is described in [](/solutions/search/semantic-search/semantic-search-semantic-text.md).
+
+To learn about adding data for other search goals, go to [](/solutions/search/ingest-for-search.md).
+For a broader overview of ingestion options, go to [](/manage-data/ingest.md).
+
+If you're not ready to add your own data, you can use [sample data](/manage-data/ingest/sample-data.md) or create small data sets when you follow the instructions in the [quickstarts](/solutions/search/get-started/quickstarts.md).
+::::
+
+::::{{step}} Build your search queries
+
+Your next steps will be to choose a method to write queries and interact with {{es}}.
+You can pick a programming language [client](/reference/elasticsearch-clients/index.md) that matches your application and choose which [query languages](/solutions/search/querying-for-search.md) you will use to express your search logic.
 Each decision builds on the previous ones, offering flexibility to mix and match approaches based on your needs.
 
-::::{tip}
-Already have an {{es}} deployment? You can get started with our hands-on [quickstart guides](/solutions/search/get-started/quickstarts.md), or check out our [Python notebooks](https://github.com/elastic/elasticsearch-labs/tree/main/notebooks#readme).
+Not sure where to start exploring?
+Get an introduction to [index and search basics](/solutions/search/get-started/index-basics.md) or [build your first search query with Python](/solutions/search/get-started/keyword-search-python.md).
 ::::
+:::::
+
+## Related resources
+
+Use these resources to learn more about {{es}} or get started in a different way:
+
+- [](/deploy-manage/deploy/deployment-comparison.md)
+- [Get started with Query DSL search and filters](elasticsearch://reference/query-languages/query-dsl/full-text-filter-tutorial.md)
+- [Get started with ES|QL queries](elasticsearch://reference/query-languages/esql/esql-getting-started.md)
+- [Analyze eCommerce data with aggregations using Query DSL](/explore-analyze/query-filter/aggregations/tutorial-analyze-ecommerce-data-with-aggregations-using-query-dsl.md)

solutions/search/get-started/quickstarts.md

@@ -24,7 +24,10 @@ Follow the steps in these guides to get started quickly:
 
 ## Related resources
 
+The following resources go deeper into specific features or use cases:
+
 - [Get started with Query DSL search and filters](elasticsearch://reference/query-languages/query-dsl/full-text-filter-tutorial.md)
 - [Get started with ES|QL queries](elasticsearch://reference/query-languages/esql/esql-getting-started.md)
 - [Analyze eCommerce data with aggregations using Query DSL](/explore-analyze/query-filter/aggregations/tutorial-analyze-ecommerce-data-with-aggregations-using-query-dsl.md)
 - [](/solutions/search/hybrid-semantic-text.md)
+- [](/solutions/search/vector/bring-own-vectors.md)