[E&A] Fixes ALL the links.

Author: szabosteve

explore-analyze/geospatial-analysis.md

@@ -48,7 +48,7 @@ Data is often messy and incomplete. [Ingest pipelines](../manage-data/ingest/tra
 
 ## Aggregate [geospatial-aggregate]
 
-[Aggregations](/query-filter/aggregations.md) summarizes your data as metrics, statistics, or other analytics. Use [bucket aggregations](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket.html) to group documents into buckets, also called bins, based on field values, ranges, or other criteria. Then, use [metric aggregations](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics.html) to calculate metrics, such as a sum or average, from field values in each bucket. Compare metrics across buckets to gain insights from your data.
+[Aggregations](query-filter/aggregations.md) summarizes your data as metrics, statistics, or other analytics. Use [bucket aggregations](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket.html) to group documents into buckets, also called bins, based on field values, ranges, or other criteria. Then, use [metric aggregations](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics.html) to calculate metrics, such as a sum or average, from field values in each bucket. Compare metrics across buckets to gain insights from your data.
 
 Geospatial bucket aggregations:
 

explore-analyze/query-filter/aggregations/tutorial-analyze-ecommerce-data-with-aggregations-using-query-dsl.md

@@ -22,15 +22,15 @@ You’ll learn how to:
 
 You’ll need:
 
-1. A running instance of [{{es}}](../../get-started/deployment-options.md), either on {{serverless-full}} or together with {{kib}} on Elastic Cloud Hosted/Self Managed deployments.
+1. A running instance of [{{es}}](../../../get-started/deployment-options.md), either on {{serverless-full}} or together with {{kib}} on Elastic Cloud Hosted/Self Managed deployments.
 
-    * If you don’t have a deployment, you can run the following command in your terminal to set up a [local dev environment](../../solutions/search/get-started.md):
+    * If you don’t have a deployment, you can run the following command in your terminal to set up a [local dev environment](../../../solutions/search/get-started.md):
 
         ```sh
         curl -fsSL https://elastic.co/start-local | sh
         ```
 
-2. The [sample eCommerce data](../index.md#gs-get-data-into-kibana) loaded into {{es}}. To load sample data follow these steps in your UI:
+2. The [sample eCommerce data](../../index.md#gs-get-data-into-kibana) loaded into {{es}}. To load sample data follow these steps in your UI:
 
     * Open the **Integrations** pages by searching in the global search field.
     * Search for `sample data` in the **Integrations** search field.
@@ -40,7 +40,7 @@ You’ll need:
 
 ## Inspect index structure [aggregations-tutorial-inspect-data]
 
-Before we start analyzing the data, let’s examine the structure of the documents in our sample eCommerce index. Run this command to see the field [mappings](../../manage-data/data-store/index-basics.md#elasticsearch-intro-documents-fields-mappings):
+Before we start analyzing the data, let’s examine the structure of the documents in our sample eCommerce index. Run this command to see the field [mappings](../../../manage-data/data-store/index-basics.md#elasticsearch-intro-documents-fields-mappings):
 
 ```console
 GET kibana_sample_data_ecommerce/_mapping

explore-analyze/query-filter/languages/querydsl.md

@@ -48,7 +48,7 @@ You can also filter data using Query DSL. Filters enable you to include or exclu
 
 ### Analyze with Query DSL [search-analyze-data-query-dsl]
 
-[Aggregations](/explore-analyze/aggregations.md) are the primary tool for analyzing {{es}} data using Query DSL. Aggregations enable you to build complex summaries of your data and gain insight into key metrics, patterns, and trends.
+[Aggregations](../aggregations.md) are the primary tool for analyzing {{es}} data using Query DSL. Aggregations enable you to build complex summaries of your data and gain insight into key metrics, patterns, and trends.
 
 Because aggregations leverage the same data structures used for search, they are also very fast. This enables you to analyze and visualize your data in real time. You can search documents, filter results, and perform analytics at the same time, on the same data, in a single request. That means aggregations are calculated in the context of the search query.
 
@@ -58,7 +58,7 @@ The following aggregation types are available:
 * [Bucket](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket.html): Group documents into buckets based on field values, ranges, or other criteria.
 * [Pipeline](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-pipeline.html): Run aggregations on the results of other aggregations.
 
-Run aggregations by specifying the [search API](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-search.html)'s `aggs` parameter. Learn more in [Run an aggregation](/explore-analyze/aggregations.md#run-an-agg).
+Run aggregations by specifying the [search API](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-search.html)'s `aggs` parameter. Learn more in [Run an aggregation](/explore-analyze/query-filter/aggregations.md#run-an-agg).
 
 
 ## How does it work? [query-dsl]

explore-analyze/visualize/maps/maps-aggregations.md

@@ -12,7 +12,7 @@ mapped_pages:
 # Plot big data [maps-aggregations]
 
 
-Use [aggregations](../../aggregations.md) to plot large data sets without overwhelming your network or your browser. When using aggregations, the documents stay in Elasticsearch and only the calculated values for each group are returned to your computer.
+Use [aggregations](../../query-filter/aggregations.md) to plot large data sets without overwhelming your network or your browser. When using aggregations, the documents stay in Elasticsearch and only the calculated values for each group are returned to your computer.
 
 Aggregations group your documents into buckets and calculate metrics for each bucket. Use metric aggregations for [data driven styling](vector-style.md#maps-vector-style-data-driven). For example, use the count aggregation to shade world countries by web log traffic.
 

explore-analyze/visualize/maps/maps-getting-started.md

@@ -114,7 +114,7 @@ This layer displays web log documents as points. The layer is only visible when
 
 ### Add a layer for aggregated data [_add_a_layer_for_aggregated_data]
 
-You’ll create a layer for [aggregated data](../../aggregations.md) and make it visible only when the map is zoomed out. Darker colors will symbolize grids with more web log traffic, and lighter colors will symbolize grids with less traffic. Larger circles will symbolize grids with more total bytes transferred, and smaller circles will symbolize grids with less bytes transferred.
+You’ll create a layer for [aggregated data](../../query-filter/aggregations.md) and make it visible only when the map is zoomed out. Darker colors will symbolize grids with more web log traffic, and lighter colors will symbolize grids with less traffic. Larger circles will symbolize grids with more total bytes transferred, and smaller circles will symbolize grids with less bytes transferred.
 
 1. Click **Add layer**, and select **Clusters**.
 2. Set **Data view** to **kibana_sample_data_logs**.

raw-migrated-files/elasticsearch/elasticsearch-reference/search-analyze.md

@@ -59,7 +59,7 @@ The folowing aggregation types are available:
 * [Bucket](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket.html): Group documents into buckets based on field values, ranges, or other criteria.
 * [Pipeline](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-pipeline.html): Run aggregations on the results of other aggregations.
 
-Run aggregations by specifying the [search API](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-search.html)'s `aggs` parameter. Learn more in [Run an aggregation](../../../explore-analyze/aggregations.md#run-an-agg).
+Run aggregations by specifying the [search API](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-search.html)'s `aggs` parameter. Learn more in [Run an aggregation](../../../explore-analyze/query-filter/aggregations.md#run-an-agg).
 
 
 ### {{esql}} [search-analyze-data-esql]

solutions/search/vector/knn.md

@@ -395,7 +395,7 @@ The score of each hit is the sum of the `knn` and `query` scores. You can specif
 score = 0.9 * match_score + 0.1 * knn_score
 ```
 
-The `knn` option can also be used with [`aggregations`](../../../explore-analyze/aggregations.md). In general, {{es}} computes aggregations over all documents that match the search. So for approximate kNN search, aggregations are calculated on the top `k` nearest documents. If the search also includes a `query`, then aggregations are calculated on the combined set of `knn` and `query` matches.
+The `knn` option can also be used with [`aggregations`](../../../explore-analyze/query-filter/aggregations.md). In general, {{es}} computes aggregations over all documents that match the search. So for approximate kNN search, aggregations are calculated on the top `k` nearest documents. If the search also includes a `query`, then aggregations are calculated on the combined set of `knn` and `query` matches.
 
 
 ### Perform semantic search [knn-semantic-search]