Merge branch 'main' into mw-es-ts-structure

Author: marciw

solutions/search.md

@@ -1,4 +1,7 @@
 ---
+applies:
+  stack:
+  serverless:
 mapped_urls:
   - https://www.elastic.co/guide/en/elasticsearch/reference/current/search-with-elasticsearch.html
   - https://www.elastic.co/guide/en/serverless/current/what-is-elasticsearch-serverless.html
@@ -21,27 +24,4 @@ Here are a few common real-world applications:
 | **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
-
-% Use migrated content from existing pages that map to this page:
-
-% - [ ] ./raw-migrated-files/elasticsearch/elasticsearch-reference/search-with-elasticsearch.md
-% - [ ] ./raw-migrated-files/docs-content/serverless/what-is-elasticsearch-serverless.md

solutions/search/ai-search/ai-search.md

@@ -1,3 +1,8 @@
+---
+applies:
+  stack:
+  serverless:
+---
 # AI-powered search
 
 Natural language understanding and information retrieval go hand in hand in modern search systems. Sometimes [full-text search](../full-text.md) alone isn't enough. Machine learning techniques are powerful tools for helping users find data based on intent and contextual meaning.

solutions/search/api-quickstarts.md

@@ -1,5 +1,14 @@
+---
+applies:
+  stack:
+  serverless:
+---
 # API quickstarts
 
+:::{tip}
+Prefer working in Python? Check out our executable [Python notebooks](https://github.com/elastic/elasticsearch-labs/tree/main/notebooks#readme) in the Elasticsearch Labs repository.
+::::
+
 Use the following quickstarts to get hands-on experience with Elasticsearch APIs and tools:
 
 - [Index and search data using Elasticsearch APIs](elasticsearch-basics-quickstart.md): Learn about indices, documents, and mappings, and perform a basic search using the Query DSL.
@@ -10,7 +19,7 @@ Use the following quickstarts to get hands-on experience with Elasticsearch APIs
  - [Hybrid search](hybrid-semantic-text.md): Learn how to combine semantic search using`semantic_text` with full-text search.
 - [Bring your own dense vector embeddings](vector/bring-own-vectors.md): Learn how to ingest dense vector embeddings into Elasticsearch.
 
-:::{tip}
+:::{note}
 To run the quickstarts, you need a running Elasticsearch cluster. Use [`start-local`](https://github.com/elastic/start-local) to set up a fast local dev environment in Docker, together with Kibana. Run the following command in your terminal:
 
 ```sh

solutions/search/apis-and-tools.md

@@ -2,6 +2,9 @@
 mapped_urls:
   - https://www.elastic.co/guide/en/serverless/current/elasticsearch-dev-tools.html
   - https://www.elastic.co/guide/en/enterprise-search/current/search-ui.html
+applies:
+  stack:
+  serverless:
 ---
 
 # APIs and tools

solutions/search/async-search-api.md

@@ -2,6 +2,9 @@
 mapped_pages:
   - https://www.elastic.co/guide/en/elasticsearch/reference/current/async-search-intro.html
 navigation_title: The `async-search` API
+applies:
+  stack:
+  serverless:
 ---
 
 # Long running searches with the Async Search API [async-search-intro]

solutions/search/cross-cluster-search.md

@@ -1,6 +1,9 @@
 ---
 mapped_pages:
   - https://www.elastic.co/guide/en/elasticsearch/reference/current/modules-cross-cluster-search.html
+applies:
+  stack:
+  serverless:
 ---
 
 # Cross-cluster search [modules-cross-cluster-search]

solutions/search/elasticsearch-basics-quickstart.md

@@ -1,3 +1,8 @@
+---
+applies:
+  stack:
+  serverless:
+---
 # Basics quickstart [getting-started]
 
 

solutions/search/full-text.md

@@ -1,6 +1,9 @@
 ---
 mapped_pages:
   - https://www.elastic.co/guide/en/elasticsearch/reference/current/full-text-search.html
+applies:
+  stack:
+  serverless:
 ---
 
 # Full-text search [full-text-search]

solutions/search/full-text/how-full-text-works.md

@@ -1,3 +1,8 @@
+---
+applies:
+  stack:
+  serverless:
+---
 # How full-text search works [full-text-search-how-it-works]
 
 The following diagram illustrates the components of full-text search.

solutions/search/full-text/search-relevance/consistent-scoring.md

@@ -1,6 +1,9 @@
 ---
 mapped_pages:
   - https://www.elastic.co/guide/en/elasticsearch/reference/current/consistent-scoring.html
+applies:
+  stack:
+  serverless:
 ---
 
 # Getting consistent scoring [consistent-scoring]