May 7, 2024 · May 7, 2024
diff --git a/pgml-cms/docs/api/sql-extension/pgml.decompose.md b/pgml-cms/docs/api/sql-extension/pgml.decompose.md

 # pgml.decompose()


 Chunks are pieces of documents split using some specified splitter. This is typically done before embedding.
 Matrix decomposition reduces the number of dimensions in a vector, to improve relevance and reduce computation required.

 ## API

 | Parameter      | Example                         | Description                                              |
 |----------------|---------------------------------|----------------------------------------------------------|
 | `project_name` | `'My First PostgresML Project'` | The project name used to train models in `pgml.train()`. |
 | `vector`       | `ARRAY[0.1, 0.45, 1.0]`         | The feature vectorthat needs decomposition.             |
 | `vector`       | `ARRAY[0.1, 0.45, 1.0]`         | The feature vectorto transform.             |

 ## Example

 ```sql
 SELECT pgml.decompose('My PCA', ARRAY[0.1, 2.0, 5.0]);
 ```

 !!! example

 ```sql
 SELECT *,
    pgml.decompose(
        'Buy it Again',
        ARRAY[
            user.location_id,
            NOW() - user.created_at,
            user.total_purchases_in_dollars
        ]
    ) AS buying_score
 FROM users
 WHERE tenant_id = 5
 ORDER BY buying_score
 LIMIT 25;
 ```

 !!!
Original file line number	Diff line number	Diff line change
Expand Up		@@ -4,8 +4,7 @@ description: Decompose an input vector into it's principal components

		# pgml.decompose()


		Chunks are pieces of documents split using some specified splitter. This is typically done before embedding.
		Matrix decomposition reduces the number of dimensions in a vector, to improve relevance and reduce computation required.

		## API

Expand All		@@ -21,30 +20,10 @@ pgml.decompose(
		\| Parameter \| Example \| Description \|
		\|----------------\|---------------------------------\|----------------------------------------------------------\|
		\| `project_name` \| `'My First PostgresML Project'` \| The project name used to train models in `pgml.train()`. \|
		\| `vector` \| `ARRAY[0.1, 0.45, 1.0]` \| The feature vectorthat needs decomposition. \|
		\| `vector` \| `ARRAY[0.1, 0.45, 1.0]` \| The feature vectorto transform. \|

		## Example

		```sql
		SELECT pgml.decompose('My PCA', ARRAY[0.1, 2.0, 5.0]);
		```

		!!! example

		```sql
		SELECT *,
		pgml.decompose(
		'Buy it Again',
		ARRAY[
		user.location_id,
		NOW() - user.created_at,
		user.total_purchases_in_dollars
		]
		) AS buying_score
		FROM users
		WHERE tenant_id = 5
		ORDER BY buying_score
		LIMIT 25;
		```

		!!!