add minor rephrases

Author: ketkee-aryamane

solutions/search/full-text/search-with-synonyms.md

@@ -97,12 +97,12 @@ You can create and manage synonym sets and synonym rules using the {{kib}} user
 To create a synonym set using the UI:
 
 1. Use the [global search field](/explore-analyze/find-and-organize/find-apps-and-objects.md) to find Synonyms, then select **Synonyms / Synonyms** from the results.
-2. Click **Get started**.
+2. Select **Get started**.
 3. Enter a name for your synonym set.
 4. Add your synonym rules in the editor by adding terms to match against:
    - Add **Equivalent rules** by adding multiple equivalent terms. For example: `ipod, i-pod, i pod`
    - Add **Explicit rules** by adding multiple terms that map to a single term. For example: `i-pod, i pod => ipod`
-5. Click **Save** to save your rules.
+5. Select **Save** to save your rules.
 
 The UI supports the same synonym rule formats as the file-based approach. Changes made through the UI will automatically reload the associated analyzers.
 
@@ -123,7 +123,7 @@ You can store your synonyms set in a file.
 
 Make sure you upload a synonyms set file for all your cluster nodes, to the configuration directory for your {{es}} distribution. If you're using {{ech}}, you can upload synonyms files using [custom bundles](../../../deploy-manage/deploy/elastic-cloud/upload-custom-plugins-bundles.md).
 
-An example synonyms file:
+An example of a synonyms file:
 
 ```markdown
 # Blank lines and lines starting with pound are comments.

solutions/search/rag/playground.md

@@ -118,7 +118,7 @@ To get started with Playground, you need to create a [connector](../../../deploy
 
 To connect to an LLM provider, use the following steps on the Playground landing page:
 
-1. Select **New Playground**. Select the tool icon in the **Large Language Model (LLM)** tile to connect an LLM.
+1. Select **New Playground**. Select the wrench button (🔧) in the **Large Language Model (LLM)** tile to connect an LLM.
 2. Select your **LLM provider**.
 3. **Name** your connector.
 4. Select a **URL endpoint** (or use the default).

solutions/search/search-pipelines.md

@@ -188,7 +188,7 @@ Connectors will automatically add these control flow parameters based on the set
 
 #### `<index-name>@ml-inference` Reference [ingest-pipeline-search-details-specific-ml-reference]
 
-This pipeline is empty to start (no processors), but can be added to via the Kibana UI either through the Pipelines tab of your index, or by navigating to **Ingest Pipelines** in the management page using the navigation menu or the [global search field](/explore-analyze/find-and-organize/find-apps-and-objects.md). Unlike the `search-default-ingestion` pipeline and the `<index-name>` pipeline, this pipeline is NOT "managed".
+This pipeline is empty to start (no processors), but can be added to via the Kibana UI either through the **Pipelines** tab of your index, or by navigating to **Ingest Pipelines** in the management page using the navigation menu or the [global search field](/explore-analyze/find-and-organize/find-apps-and-objects.md). Unlike the `search-default-ingestion` pipeline and the `<index-name>` pipeline, this pipeline is NOT "managed".
 
 It’s possible to add one or more ML inference pipelines to an index in the **Pipelines** tab. This pipeline will serve as a container for all of the ML inference pipelines configured for the index. Each ML inference pipeline added to the index is referenced within `<index-name>@ml-inference` using a `pipeline` processor.
 
@@ -207,7 +207,7 @@ The `monitor_ml` Elasticsearch cluster permission is required in order to manage
 
 #### `<index-name>@custom` Reference [ingest-pipeline-search-details-specific-custom-reference]
 
-This pipeline is empty to start (no processors), but can be added to via the Kibana UI either through the Pipelines tab of your index, or go to **Ingest Pipelines** in the management page using the navigation menu or the [global search field](/explore-analyze/find-and-organize/find-apps-and-objects.md). Unlike the `search-default-ingestion` pipeline and the `<index-name>` pipeline, this pipeline is NOT "managed".
+This pipeline is empty to start (no processors), but can be added to via the Kibana UI either through the **Pipelines** tab of your index, or go to **Ingest Pipelines** in the management page using the navigation menu or the [global search field](/explore-analyze/find-and-organize/find-apps-and-objects.md). Unlike the `search-default-ingestion` pipeline and the `<index-name>` pipeline, this pipeline is NOT "managed".
 
 You are encouraged to make additions and edits to this pipeline, provided its name remains the same. This provides a convenient hook from which to add custom processing and transformations for your data. Be sure to read the [docs for ingest pipelines](/manage-data/ingest/transform-enrich/ingest-pipelines.md) to see what options are available.
 

solutions/search/vector/bring-own-vectors.md

@@ -136,7 +136,7 @@ If you want to try a similar workflow from an {{es}} client, use the following g
 
 * Go to **Index Management** in the management page using the navigation menu or the [global search field](/explore-analyze/find-and-organize/find-apps-and-objects.md).
 * Select **Create index**. Specify a name and then select **Create my index**. 
-* Select **Vector Search** option and configure your index.
+* Select **Vector Search** option and follow the guided workflow.
 
 When you finish your tests and no longer need the sample data set, delete the index: