fix: fix links (#905)

Author: alejandrodnm

docs/vectorizer/api-reference.md

@@ -1,4 +1,3 @@
-
 # pgai Vectorizer API reference
 
 This page provides an API reference for Vectorizer functions. For an overview
@@ -790,7 +789,7 @@ The simplest method is to provide the `AWS_ACCESS_KEY_ID`,
 vectorizer worker. Consult the [boto3 credentials documentation] for more
 options.
 
-[boto3 credentials documentation]: (https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html)
+[boto3 credentials documentation]: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
 
 ```sql
     SELECT ai.create_vectorizer(

projects/extension/docs/model_calling/litellm.md

@@ -63,7 +63,7 @@ Generate embeddings using a specified model.
   The data returned looks like:
 
     ```text
-                          litellm_embed                      
+                          litellm_embed
     --------------------------------------------------------
      [0.005978798,-0.020522336,...-0.0022857306,-0.023699166]
     (1 row)
@@ -188,7 +188,7 @@ The simplest method is to set the `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`,
 and `AWS_REGION_NAME` environment variables for the database process. Consult
 the [boto3 credentials documentation] for more options.
 
-[boto3 credentials documentation]: (https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html)
+[boto3 credentials documentation]: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
 
 ```sql
     SELECT ai.litellm_embed(