fix(genapi): sentence wording

Author: fpagny

tutorials/how-to-implement-rag-generativeapis/index.mdx

@@ -76,7 +76,7 @@ In this tutorial, you will learn how to implement RAG using LangChain, a leading
    SCW_GENERATIVE_APIs_ENDPOINT="https://api.scaleway.ai/v1"
    ```
 
-## Embeddings and vector store setup
+## Setup embeddings and vector store
 
 ### Import required modules
 
@@ -291,7 +291,7 @@ Then, we will embed them as vectors and store these vectors in your PostgreSQL d
    ```sh
    scaleway instance shutdown --instance-uuid example-28f3-4e91-b2af-4c3502562d72
    ```
-   This is command is not correct at all, and hallucinate in several ways to fit the question prompt content: `scaleway` instead of `scw`, `instance` instead of `instance server`, `shutdown` instead of `stop` and `--instance-uuid` parameter doesn't exist.
+   This is command is not correct at all, and "hallucinate" in several ways to fit the question prompt content: `scaleway` instead of `scw`, `instance` instead of `instance server`, `shutdown` instead of `stop` and `--instance-uuid` parameter doesn't exist.
 
 ### Query the RAG system with your own prompt template
 
@@ -303,7 +303,6 @@ Personalizing your prompt template allows you to tailor the responses from your
 from langchain.chains.combine_documents import create_stuff_documents_chain
 from langchain_core.prompts import PromptTemplate
 from langchain_openai import ChatOpenAI
-import time
 
 llm = ChatOpenAI(
         base_url=os.getenv("SCW_GENERATIVE_APIs_ENDPOINT"),