fix(inference): env variable (#3826)

* fix(tutorial): change .env var in tutorial

* fix public url

Author: Laure-di

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

@@ -50,6 +50,7 @@ Create a .env file and add the following variables. These will store your API ke
    # Scaleway API credentials
    SCW_ACCESS_KEY=your_scaleway_access_key
    SCW_API_KEY=your_scaleway_secret_ke
+   SCW_REGION=your_scaleway_region
 
    # Scaleway managed database (PostgreSQL) credentials
    SCW_DB_NAME=your_scaleway_managed_db_name
@@ -60,13 +61,13 @@ Create a .env file and add the following variables. These will store your API ke
 
    # Scaleway S3 bucket configuration
    SCW_BUCKET_NAME=your_scaleway_bucket_name
-   SCW_BUCKET_ENDPOINT="https://{{SCW_BUCKET_NAME}}.s3.{{SCW_REGION}}.scw.cloud" # S3 endpoint, e.g., https://s3.fr-par.scw.cloud
+   SCW_BUCKET_ENDPOINT="https://s3.{{SCW_REGION}}.scw.cloud" # S3 endpoint, e.g., https://s3.fr-par.scw.cloud
 
    # Scaleway Inference API configuration (Embeddings)
-   SCW_INFERENCE_EMBEDDINGS_ENDPOINT="https://{{SCW_INFERENCE_DEPLOYMENT_ID}}.ifr.fr-par.scw.cloud/v1"  # Endpoint for sentence-transformers/sentence-t5-xxl deployment
+   SCW_INFERENCE_EMBEDDINGS_ENDPOINT="https://{{SCW_INFERENCE_EMBEDDINGS_DEPLOYMENT_ID}}.ifr.fr-par.scaleway.com/v1"  # Endpoint for sentence-transformers/sentence-t5-xxl deployment
 
    # Scaleway Inference API configuration (LLM deployment)
-   SCW_INFERENCE_DEPLOYMENT_ENDPOINT="https://{{SCW_INFERENCE_DEPLOYMENT_ID}}.ifr.fr-par.scw.cloud/v1"  # Endpoint for your LLM deployment
+   SCW_INFERENCE_DEPLOYMENT_ENDPOINT="https://{{SCW_INFERENCE_DEPLOYMENT_ID}}.ifr.fr-par.scaleway.com/v1"  # Endpoint for your LLM deployment
    ```
 
 ## Setting Up Managed Databases