diff --git a/docs/knn/index.md b/docs/knn/index.md
index 7b10a73c..50c89dca 100644
--- a/docs/knn/index.md
+++ b/docs/knn/index.md
@@ -165,7 +165,7 @@ POST _bulk
 
 ```
 
-Finally, use the `script_store` query to pre-filter your documents before identifying nearest neighbors:
+Finally, use the `script_score` query to pre-filter your documents before identifying nearest neighbors:
 
 ```json
 GET my-knn-index-2/_search
@@ -199,7 +199,10 @@ GET my-knn-index-2/_search
 All parameters are required.
 
 - `lang` is the script type. This value is usually `painless`, but here you must specify `knn`.
-- `source` is the name of the stored script, `knn_store`.
+- `source` is the name of the script, `knn_store`.
+
+  This script is part of the KNN plugin and isn't available at the standard `_scripts` path. A GET request to  `_cluster/state/metadata` doesn't return it, either.
+  
 - `field` is the field that contains your vector data.
 - `vector` is the point you want to find the nearest neighbors for.
 - `space_type` is either `l2` or `cosinesimil`.
diff --git a/docs/sql/window.md b/docs/sql/window.md
deleted file mode 100644
index 8a70c242..00000000
--- a/docs/sql/window.md
+++ /dev/null
@@ -1,111 +0,0 @@
----
-layout: default
-title: Window Functions
-parent: SQL
-nav_order: 11
----
-
-# Window Functions
-
-A window function performs a calculation across a frame of data rows around the current row and finds a result for each row.
-
-`PARTITION BY` and `ORDER BY` define the frame of data over which the calculation is made.
-
-You can use window functions in the following three categories:
-
-1. Aggregate Functions: `COUNT()`, `MIN()`, `MAX()`, `AVG()`, and `SUM()`.
-2. Ranking Functions: `ROW_NUMBER()`, `RANK()`, `DENSE_RANK()`, `PERCENT_RANK()`, and `NTILE()`.
-3. Analytic Functions: `CUME_DIST()`, `LAG()`, and `LEAD()`.
-
-The syntax of a window function is as follows:
-
-```sql
-function_name (expression [, expression...])
-  OVER (
-    PARTITION BY expression [, expression...]
-    ORDER BY expression [ASC | DESC] [, ...]
-    )
-```
-
-The `PARTITION BY` and `ORDER BY` clauses are optional.
-{: .note }
-
-To use window functions, enable the new SQL engine:
-
-```json
-PUT _cluster/settings
-{
- "persistent": {
-    "opendistro.sql.engine.new.enabled" : "true"
-  }
-}
-```
-
-## Ranking functions
-
-Ranking functions assign an incremental ranking value to each row in the frame.
-
-The increase in the ranking value depends on how the ranking function is implemented. The ranking value is mostly determined by the field values in the `ORDER BY` clause. If the `PARTITION BY` clause is also present, the ranking function resets its state, while maintaining the incremental ranking value.
-
-If you use the ranking function without the `ORDER BY` clause, the result is undetermined. Without the `ORDER BY` clause, `ROW_NUMBER` assigns a random number to each data row while `RANK` and `DENSE_RANK` assign a ranking value of 1 to each data row.
-
-### RANK
-
-The `RANK` function assigns a ranking value to each row of a result set.
-It assigns the same ranking value for the same field values specified in the `ORDER BY` list.
-
-```sql
-SELECT gender, RANK()
-OVER (
-  ORDER BY gender DESC
-  )
-AS rnk FROM accounts;
-```
-
-| gender | rank
-:--- | :---
-| M        | 1     
-| M        | 1     
-| M        | 1     
-| F        | 4  
-
-In this case, the next few ranks are skipped depending on the number of ties that occur.   
-
-### ROW_NUMBER
-
-`ROW_NUMBER` assigns a number to each data row of the result set sequentially. The row number increases by 1 regardless of the fields specified in the `ORDER BY` list.
-
-```sql
-SELECT gender, balance, ROW_NUMBER()
-OVER (
-  PARTITION BY gender ORDER BY balance
-   )
-AS num FROM accounts;
-```
-
-| gender | balance | num
-:--- | :---
-| F        | 32838     | 1     
-| M        | 4180      | 1     
-| M        | 5686      | 2     
-| M        | 39225     | 3     
-
-
-### DENSE_RANK
-
-Similar to the `RANK` function, `DENSE_RANK` also assigns a ranking value to each row but without any gaps between the ranking values.
-
-```sql
-SELECT gender, DENSE_RANK()
-OVER (
-  ORDER BY gender DESC
-  )
-AS rnk FROM accounts;
-```
-
-| gender | rank
-:--- | :---
-| M        | 1     
-| M        | 1     
-| M        | 1     
-| F        | 2