Releasing the fixes for broken links

src/sq/aggregations.md

@@ -4,7 +4,7 @@ An aggregation query allows you to perform the following actions:
 - Group data based on field values.
 - Apply aggregation functions on the grouped data.
 
-This article explains the basic usage of the `FT.AGGREGATE` command. For further details, see the [command specification](https://redis.io/commands/ft.aggregate/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) and the [aggregations reference documentation](https://redis.io/docs/interact/search-and-query/advanced-concepts/aggregations?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
+This article explains the basic usage of the `FT.AGGREGATE` command. For further details, see the [command specification](https://redis.io/commands/ft.aggregate/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) and the [aggregations reference documentation](https://redis.io/docs/latest/develop/ai/search-and-query/advanced-concepts/aggregations?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
 
 The examples in this article use a schema with the following fields:
 
@@ -49,7 +49,7 @@ FT.AGGREGATE index "query_expr" LOAD n "field_1" .. "field_n" APPLY "function_ex
 
 Here is a more detailed explanation of the query syntax:
 
-1. **Query expression**: you can use the same query expressions as you would use with the `FT.SEARCH` command. You can substitute `query_expr` with any of the expressions explained in the articles of this [query topic](https://redis.io/docs/interact/search-and-query/query/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials). Vector search queries are an exception. You can't combine a vector search with an aggregation query.
+1. **Query expression**: you can use the same query expressions as you would use with the `FT.SEARCH` command. You can substitute `query_expr` with any of the expressions explained in the articles of this [query topic](https://redis.io/docs/latest/develop/ai/search-and-query/query/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials). Vector search queries are an exception. You can't combine a vector search with an aggregation query.
 2. **Loaded fields**: if field values weren't already loaded into the aggregation pipeline, you can force their presence via the `LOAD` clause. This clause takes the number of fields (`n`), followed by the field names (`"field_1" .. "field_n"`).
 3. **Mapping function**: this mapping function operates on the field values. A specific field is referenced as `@field_name` within the function expression. The result is returned as `result_field`.
 
@@ -73,7 +73,7 @@ FT.AGGREGATE index "query_expr" ...  GROUPBY n "field_1" .. "field_n" REDUCE AGG
 Here is an explanation of the additional constructs:
 
 1. **Grouping**: you can group by one or many fields. Each ordered sequence of field values then defines one group. It's also possible to group by values that resulted from a previous `APPLY ... AS`.
-2. **Aggregation**: you must replace `AGG_FUNC` with one of the supported aggregation functions (e.g., `SUM` or `COUNT`). A complete list of functions is available in the [aggregations reference documentation](https://redis.io/docs/interact/search-and-query/advanced-concepts/aggregations?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials). Replace `aggregated_result_field` with a value of your choice.
+2. **Aggregation**: you must replace `AGG_FUNC` with one of the supported aggregation functions (e.g., `SUM` or `COUNT`). A complete list of functions is available in the [aggregations reference documentation](https://redis.io/docs/latest/develop/ai/search-and-query/advanced-concepts/aggregations?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials). Replace `aggregated_result_field` with a value of your choice.
 
 The following query shows you how to group by the field `condition` and apply a reduction based on the previously derived `price_category`. The expression `@price<1000` causes a bicycle to have the price category `1` if its price is lower than 1000 USD. Otherwise, it has the price category `0`. The output is the number of affordable bicycles grouped by price category.
 

src/sq/combined.md

@@ -9,7 +9,7 @@ A combined query is a combination of several query types, such as:
 You can use logical query operators to combine query expressions for numeric, tag, and text fields. For vector fields, you can combine a KNN query with a pre-filter.
 
 **Note**:
-The operators are interpreted slightly differently depending on the query dialect used. The default dialect is `DIALECT 1`; see [this article](https://redis.io/docs/interact/search-and-query/advanced-concepts/dialects/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) for information on the various dialects and how to change the dialect version. This article uses the second version of the query dialect, `DIALECT 2`, and uses additional brackets (`(...)`) to help clarify the examples.
+The operators are interpreted slightly differently depending on the query dialect used. The default dialect is `DIALECT 1`; see [this article](https://redis.io/docs/latest/develop/ai/search-and-query/advanced-concepts/dialects/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) for information on the various dialects and how to change the dialect version. This article uses the second version of the query dialect, `DIALECT 2`, and uses additional brackets (`(...)`) to help clarify the examples.
 
 The examples in this article use the following schema:
 
@@ -134,4 +134,4 @@ FT.SEARCH idx:bicycle "@price:[500 1000] -@condition:{new}"
 FT.SEARCH index "expr" FILTER numeric_field start end
 ```
 
-Please see the [range query article](https://redis.io/docs/interact/search-and-query/query/range?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) to learn more about numeric range queries and such filters.
+Please see the [range query article](https://redis.io/docs/latest/develop/ai/search-and-query/query/range?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) to learn more about numeric range queries and such filters.

src/sq/full-text.md

@@ -1,6 +1,6 @@
 A full-text search finds words or phrases within larger texts. You can search within a specific text field or across all text fields. 
 
-This article provides a good overview of the most relevant full-text search capabilities. Please find further details about all the full-text search features in the [reference documentation](https://redis.io/docs/interact/search-and-query/advanced-concepts/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
+This article provides a good overview of the most relevant full-text search capabilities. Please find further details about all the full-text search features in the [reference documentation](https://redis.io/docs/latest/develop/ai/search-and-query/advanced-concepts/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
 
 The examples in this article use a schema with the following fields:
 
@@ -50,7 +50,7 @@ Instead of searching across all text fields, you might want to limit the search
 FT.SEARCH index "@field: word"
 ```
 
-Words that occur very often in natural language, such as `the` or `a` for the English language, aren't indexed and will not return a search result. You can find further details in the [stop words article](https://redis.io/docs/interact/search-and-query/advanced-concepts/stopwords?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
+Words that occur very often in natural language, such as `the` or `a` for the English language, aren't indexed and will not return a search result. You can find further details in the [stop words article](https://redis.io/docs/latest/develop/ai/search-and-query/advanced-concepts/stopwords?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
 
 The following example searches for all bicycles that have the word 'kids' in the description:
 
@@ -60,7 +60,7 @@ FT.SEARCH idx:bicycle "@description: kids"
 
 ## Phrase
 
-A phrase is a sentence, sentence fragment, or small group of words. You can find further details about how to find exact phrases in the [exact match article](https://redis.io/docs/interact/search-and-query/query/exact-match?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
+A phrase is a sentence, sentence fragment, or small group of words. You can find further details about how to find exact phrases in the [exact match article](https://redis.io/docs/latest/develop/ai/search-and-query/query/exact-match?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
 
 
 ## Word prefix

src/sq/learn-more.md

@@ -1,6 +1,6 @@
 ### Documentation
 
-* [Redis Query Engine home](https://redis.io/docs/interact/search-and-query/?utm_source=redisinsight&utm_medium=app&utm_campaign=query_engine_tutorial)
+* [Redis Query Engine home](https://redis.io/docs/latest/develop/ai/search-and-query/?utm_source=redisinsight&utm_medium=app&utm_campaign=query_engine_tutorial)
 * [Best practices for scalable Redis Query Engine](https://redis.io/docs/latest/operate/oss_and_stack/stack-with-enterprise/search/scalable-query-best-practices/?utm_source=redisinsight&utm_medium=app&utm_campaign=tutorials)
 
 ### Redis University
@@ -18,4 +18,4 @@
 
 ### Tutorials
 
-* [Examples](https://redis.io/docs/interact/search-and-query/query/?utm_source=redisinsight&utm_medium=app&utm_campaign=query_engine_tutorial)
+* [Examples](https://redis.io/docs/latest/develop/ai/search-and-query/query/?utm_source=redisinsight&utm_medium=app&utm_campaign=query_engine_tutorial)

src/sq/range.md

@@ -88,4 +88,4 @@ FT.SEARCH idx:bicycle "@price:[-inf 2000]" SORTBY price LIMIT 0 5
 
 ## Non-numeric range queries
 
-You can learn more about non-numeric range queries, such as [geospatial](https://redis.io/docs/interact/search-and-query/query/geo-spatial?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) or [vector search](https://redis.io/docs/interact/search-and-query/query/vector-search?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) queries, in their dedicated articles.
+You can learn more about non-numeric range queries, such as [geospatial](https://redis.io/docs/latest/develop/ai/search-and-query/query/geo-spatial/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) or [vector search](https://redis.io/docs/latest/develop/ai/search-and-query/query/vector-search/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) queries, in their dedicated articles.

src/vss/vectors-basic.md

@@ -55,7 +55,7 @@ This vector index attribute is broken down as follows:
     - `DIM 3` means that each vector is three dimensional.
     - The `DISTANCE_METRIC` is defined as `COSINE`. Other possible values are `IP` and `L2`.
 
-See the [vector reference](https://redis.io/docs/interact/search-and-query/advanced-concepts/vectors/) for more detailed information about each available option.
+See the [vector reference](https://redis.io/docs/latest/develop/ai/search-and-query/vectors/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) for more detailed information about each available option.
 
 ```redis Load some data
 JSON.SET user:1 $ '{"user": "samuel", "descr": "Samuel likes mountain and kid\'s bikes.", "labels": "mountain, kids", "vector_embedding": [0.9, 0.7, 0.2]}'