Merge branch 'main' into update_stack_supported_versions

Author: kvalliyurnatt

explore-analyze/query-filter/tools/console.md

@@ -6,6 +6,7 @@ navigation_title: Console
 mapped_urls:
   - https://www.elastic.co/guide/en/kibana/current/console-kibana.html
   - https://www.elastic.co/guide/en/cloud-enterprise/current/ece-api-console.html
+  - https://www.elastic.co/guide/en/serverless/current/devtools-run-api-requests-in-the-console.html
 ---
 
 # Run API requests with Console [console-kibana]

solutions/search/querying-for-search.md

@@ -26,7 +26,7 @@ Once you know which [search approaches](search-approaches.md) you need to use, y
 These query languages are complementary, not mutually exclusive. You can use different query languages for different parts of your application, based on your specific needs. This flexibility allows you to gradually adopt newer interfaces as your requirements evolve.
 
 ::::{note} 
-You can use the [{{es}} REST APIs](https://www.elastic.co/docs/api/doc/elasticsearch) to search your data using any HTTP client, including the [{{es}} client libraries](site-or-app/clients.md), or directly in [Console](https://www.elastic.co/guide/en/serverless/current/devtools-run-api-requests-in-the-console.html). You can also run searches using [Discover](/explore-analyze/discover.md) in the UI.
+You can use the [{{es}} REST APIs](https://www.elastic.co/docs/api/doc/elasticsearch) to search your data using any HTTP client, including the [{{es}} client libraries](site-or-app/clients.md), or directly in [Console](/explore-analyze/query-filter/tools/console.md). You can also run searches using [Discover](/explore-analyze/discover.md) in the UI.
 ::::
 
 

solutions/search/serverless-elasticsearch-get-started.md

@@ -85,7 +85,7 @@ You won’t be able to view this API key again. If needed you'll need to generat
 
 The UI provides ready-to-use code examples for ingesting data via the REST API. Choose your preferred tool for making these requests:
 
-* [Console](https://www.elastic.co/guide/en/serverless/current/devtools-run-api-requests-in-the-console.html) in your project’s UI
+* [Console](/explore-analyze/query-filter/tools/console.md) in your project’s UI
 * Python
 * JavaScript
 * cURL

solutions/search/vector.md

@@ -29,7 +29,7 @@ Here's a quick reference overview of vector search field types and queries avail
 
 ## Dense vector search
 
-Dense neural embeddings capture semantic meaning by translating content into fixed-length vectors of floating-point bumbers. Similar content maps to nearby points in the vector space, making them ideal for:
+Dense neural embeddings capture semantic meaning by translating content into fixed-length vectors of floating-point numbers. Similar content maps to nearby points in the vector space, making them ideal for:
 - Finding semantically similar content
 - Matching questions with answers
 - Image similarity search
@@ -45,4 +45,4 @@ The sparse vector approach uses the ELSER model to expand content with semantica
 - Domain-specific search
 - Large-scale deployments
 
-[Learn more about sparse vector search with ELSER](vector/sparse-vector.md).
+[Learn more about sparse vector search with ELSER](vector/sparse-vector.md).