Apply suggestions from code review

Author: bene2k1

pages/generative-apis/reference-content/integrating-generative-apis-with-popular-tools.mdx

@@ -75,12 +75,12 @@ LangChain is a popular library for building AI applications. Scaleway's Generati
 ## LlamaIndex (advanced RAG applications)
 
 LlamaIndex is an open-source framework for building Large Language Models (LLMs) based applications, especially optimizing RAG (Retrieval Augmented Generation) pipelines. 
-To use the LlamaIndex framework with Scaleway's Generative APIs, first install the required dependencies:
+1. Install the required dependencies to use the LlamaIndex framework with Scaleway's Generative APIs:
 ```bash
 pip install llama-index-llms-openai-like
 ```
 
-Then, create a file `main.py` and add the following code to it to configure the `OpenAILike` client and your secret key:
+2. Create a file `main.py` and add the following code to it to configure the `OpenAILike` client and your secret key:
 ```python
 from llama_index.llms.openai_like import OpenAILike
 from llama_index.core.llms import ChatMessage
@@ -99,13 +99,13 @@ llm = OpenAILike(
     Make sure to replace `<API secret key>` with your actual API key.
 </Message>
 
-You can then interact with the LLM by sending messages to the model with the following code:
+3. You can then interact with the LLM by sending messages to the model with the following code:
 ```python
 response = llm.chat([ChatMessage("Could you tell me about Scaleway please ?")])
 print(response)
 ```
 
-Finally, run `main.py`:
+4. Finally, run `main.py`:
 ```python
 python main.py
 ```