minor edits

docs/docs/deep-dive/retrieval_models_clients/ClarifaiRM.md

@@ -1,8 +1,8 @@
 # ClarifaiRM
 
-[Clarifai](https://clarifai.com/) is a powerful AI platform that provides vector search capabilities through its search API. ClarifaiRM integrates with DSPy to enable semantic passage retrieval using Clarifai's infrastructure. Clarifai supports efficient text search and retrieval through its specialized indexing and can handle large-scale document collections.
+[Clarifai](https://clarifai.com/) is a powerful AI platform that provides vector search capabilities through its search API. DSPy has integrated ClarifaiRM to support efficient text search and retrieval through its specialized indexing and ability to handle large-scale document collections.
 
-To support passage retrieval, ClarifaiRM assumes that documents have been properly ingested into a Clarifai application with:
+To support passage retrieval, ClarifaiRM assumes that documents have been properly ingested into a Clarifai application with the following:
 - Text data properly indexed and stored
 - Appropriate search configurations set up in the Clarifai platform
 - Valid authentication credentials (PAT key) with appropriate permissions
@@ -13,19 +13,21 @@ The ClarifaiRM module requires the `clarifai` Python package. If not already ins
 pip install clarifai
 ```
 
-!!! note
-    Before using ClarifaiRM, ensure you have:
-    1. Created a Clarifai account and application
-    2. Ingested your documents into the application
-    3. Obtained your User ID, App ID, and Personal Access Token (PAT)
+> **Note:**
+>
+> Before using ClarifaiRM, ensure you have:
+> 1. Created a Clarifai account and application
+> 2. Ingested your documents into the application
+> 3. Obtained your User ID, App ID, and Personal Access Token (PAT)
+
 
 ## Setting up the ClarifaiRM Client
 
-The constructor initializes an instance of the `ClarifaiRM` class, which requires authentication credentials and configuration for connecting to your Clarifai application.
+The constructor initializes an instance of the `ClarifaiRM` class, which requires authentication credentials and configuration to connect to your Clarifai application.
 
 - `clarifai_user_id` (_str_): Your unique Clarifai user identifier.
 - `clarifai_app_id` (_str_): The ID of your Clarifai application where documents are stored.
-- `clarifai_pat` (_Optional[str]_): Your Clarifai Personal Access Token (PAT). If not provided, it will look for `CLARIFAI_PAT` in environment variables.
+- `clarifai_pat` (_Optional[str]_): Your Clarifai Personal Access Token (PAT). It will look for `CLARIFAI_PAT` in environment variables if not provided.
 - `k` (_int_, _optional_): The number of top passages to retrieve. Defaults to 3.
 
 Example of the ClarifaiRM constructor:
@@ -39,8 +41,9 @@ ClarifaiRM(
 )
 ```
 
-!!! note
-    The PAT can be provided either directly to the constructor or through the `CLARIFAI_PAT` environment variable. For security best practices, using environment variables is recommended.
+> **Note:**
+>
+> The PAT can be provided either directly to the constructor or through the `CLARIFAI_PAT` environment variable. For security best practices, using environment variables is recommended.
 
 ## Under the Hood
 
@@ -144,7 +147,7 @@ num_results = len(results)
 
 ### Integration with Other DSPy Components
 ```python
-from dspy import ChainOfThought, Predict
+from dspy import ChainOfThought, Predict, Retrieve
 
 # Create a simple QA chain
 class QAChain(dspy.Module):
@@ -176,9 +179,10 @@ except Exception as e:
     print(f"Error occurred: {e}")
 ```
 
-!!! note
-    These examples assume you have:
-    - A properly configured Clarifai application
-    - Valid authentication credentials
-    - Documents already ingested into your Clarifai app
-    - The necessary environment variables set up
+> **Note:**
+>
+> These examples assume you have:
+> - A properly configured Clarifai application
+> - Valid authentication credentials
+> - Documents already ingested into your Clarifai app
+> - The necessary environment variables set up