diff --git a/pages/generative-apis/reference-content/adding-ai-to-vscode-using-continue.mdx b/pages/generative-apis/reference-content/adding-ai-to-vscode-using-continue.mdx
index 898dd6bf8c..44d5ac8fe4 100644
--- a/pages/generative-apis/reference-content/adding-ai-to-vscode-using-continue.mdx
+++ b/pages/generative-apis/reference-content/adding-ai-to-vscode-using-continue.mdx
@@ -30,7 +30,25 @@ code --install-extension continue.continue
 
 ### Configure Continue to use Scaleway’s Generative APIs
 
-To link Continue with Scaleway's Generative APIs, you need to configure a settings file:
+#### Configure Continue through graphical interface
+
+To link Continue with Scaleway's Generative APIs, you can use built-in menus from Continue in VS Code.
+
+- Select Continue on the left menu.
+- In the prompt section, click on **Select model** dropdown, then on **Add Chat model**.
+- Select **Scaleway** as provider.
+- Select the model you want to use (we recommend `Qwen 2.5 Coder 32b` to get started with).
+- Enter your **Scaleway Secret Key**. Note that to start with, we recommend you use a Scaleway Secret Key having access to your `default` Scaleway project.
+
+These actions will edit automatically your `config.json file`. To edit it manually, see [Configure Continue through configuration file](#configure-continue-through-configuration-file).
+
+<Message type="note">
+  Embeddings and autocomplete models are not yet supported through graphical interface configuration. To enable them, you need to edit configuration manually, see [Configure Continue through configuration file](#configure-continue-through-configuration-file).
+</Message>
+
+#### Configure Continue through configuration file
+
+To link Continue with Scaleway's Generative APIs, you can configure a settings file:
 
 - Create a `config.json` file inside your `.continue` directory.
 - Add the following configuration to enable Scaleway's Generative API:
@@ -43,7 +61,18 @@ To link Continue with Scaleway's Generative APIs, you need to configure a settin
           "provider": "scaleway",
           "apiKey": "###SCW_SECRET_KEY###"
         }
-      ]
+      ],
+      "embeddingsProvider": {
+        "model": "bge-multilingual-gemma2",
+        "provider": "scaleway",
+        "apiKey": "###SCW_SECRET_KEY###"
+      },
+      "tabAutocompleteModel": {
+        "model": "qwen2.5-coder-32b",
+        "title": "Qwen2.5 Coder Autocomplete",
+        "provider": "scaleway",
+        "apiKey": "###SCW_SECRET_KEY###"
+      }
     }
     ```
 - Save the file at the correct location:
@@ -52,6 +81,7 @@ To link Continue with Scaleway's Generative APIs, you need to configure a settin
 
 <Message type="tip">
   For more details on configuring `config.json`, refer to the [official Continue documentation](https://docs.continue.dev/reference).
+  If you want to limit access to a specific Scaleway Project, you should add the field `"apiBase": "https://api.scaleway.ai/###PROJECT_ID###/v1/"` for each model (ie. `models`, `embeddingsProvider` and `tabAutocompleteModel`) since the default url `https://api.scaleway.ai/v1/` can only be used with the `default` project.
 </Message>
 
 ### Activate Continue in VS Code
@@ -80,7 +110,7 @@ Use the "Continue: Generate Code" command to generate boilerplate code, function
 
 ### Intelligent code completion
 
-Continue enhances your coding workflow with AI-driven code completion. Simply start typing, and the AI model will predict and complete your code.
+Continue enhances your coding workflow with AI-driven code completion. Simply start typing, and the AI model will suggest code edition that you can accept by pressing `Tab`.
 
 ### Automated code refactoring
 
@@ -103,4 +133,4 @@ Refactoring is essential for maintaining clean and efficient code. Use the *"Con
 
 ## Conclusion
 
-By integrating Continue with Scaleway’s Generative APIs, you unlock AI-powered coding capabilities that enhance productivity, automate repetitive tasks, and improve code quality.
\ No newline at end of file
+By integrating Continue with Scaleway’s Generative APIs, you unlock AI-powered coding capabilities that enhance productivity, automate repetitive tasks, and improve code quality.
diff --git a/pages/generative-apis/reference-content/integrating-generative-apis-with-popular-tools.mdx b/pages/generative-apis/reference-content/integrating-generative-apis-with-popular-tools.mdx
index 25ab4fe564..ad2bbb1758 100644
--- a/pages/generative-apis/reference-content/integrating-generative-apis-with-popular-tools.mdx
+++ b/pages/generative-apis/reference-content/integrating-generative-apis-with-popular-tools.mdx
@@ -19,53 +19,60 @@ The following table compares AI tools and libraries supported by Scaleway's Gene
 
 | Tool/Library | Description | Use cases | Integration effort |
 | --- | --- | --- | --- |
-| [OpenAI](#openai-compatible-libraries) | Popular AI library for natural language processing | Text generation, language translation, text summarization | Low |
+| [OpenAI client](#openai-client-libraries) | Popular AI library for natural language processing | Text generation, language translation, text summarization | Low |
 | [LangChain](#langchain-rag-and-llm-applications) | Library for building AI applications | Inference, embeddings, document indexing and retrieval | Medium |
 | [LlamaIndex](#llamaindex-document-indexing-and-retrieval) | Library for indexing and retrieving documents using AI models | Document indexing and retrieval, question answering | Medium |
 | [Continue Dev](#continue-dev-ai-coding-assistance) | Library for AI-powered coding assistance | Code completion, code review | Low |
 | [Transformers (Hugging Face)](#transformers-hugging-face-integration) | Library for pre-trained models for natural language processing | Text generation, language translation, text summarization | Medium |
-| [cURL/Python](#api-clients-and-custom-integrations) | Direct API clients for custom integrations | Custom applications, data processing | High |
+| [cURL/Python](#custom-http-integrations) | Direct HTTP API calls for custom integrations | Custom applications, data processing | High |
 
 <Message type="note">
   The integration effort is subjective and may vary depending on the specific use case and requirements.
 </Message>
 
-## OpenAI-compatible libraries
+## OpenAI client libraries
 
 Scaleway Generative APIs follow OpenAI's API structure, making integration straightforward. To get started, you'll need to install the OpenAI library and set up your API key.
 
 ### Configuration
 
-To use the OpenAI library with Scaleway's Generative APIs, you'll need to set the API key and base URL in your OpenAI-compatible client:
+To use the OpenAI client library with Scaleway's Generative APIs, you'll need to install the required dependencies:
+```bash
+pip install openai
+```
+
+Then you'll need to set the API key and base URL in your OpenAI-compatible client:
 ```python
-import openai
-openai.api_key = "<API secret key>"
-openai.api_base = "https://api.scaleway.ai/v1"
-response = openai.ChatCompletion.create(
-    model="llama-3.1-8b-instruct",
-    messages=[{"role": "user", "content": "Tell me a joke about AI"}]
+from openai import OpenAI
+client = OpenAI(
+    base_url="https://api.scaleway.ai/v1",
+    api_key="<API secret key>"
 )
-print(response["choices"][0]["message"]["content"])
 ```
 <Message type="tip">
   Make sure to replace `<API secret key>` with your actual API key.
 </Message>
 
-### Using OpenAI for text generation
+### Using OpenAI client for text generation
 
-To use OpenAI for text generation, you can create a `ChatCompletion` object and call the `create` method:
+To use OpenAI client for text generation, you can create a `client.chat.completions` object and call the `create` method:
 ```python
-response = openai.ChatCompletion.create(
+response = client.chat.completions.create(
     model="llama-3.1-8b-instruct",
     messages=[{"role": "user", "content": "Tell me a joke about AI"}]
 )
-print(response["choices"][0]["message"]["content"])
+print(response.choices[0].message.content)
 ```
 
 ## LangChain (RAG & LLM applications)
 
 LangChain is a popular library for building AI applications. Scaleway's Generative APIs support LangChain for both inference and embeddings.
 
+<Message type="tip">
+  Refer our dedicated documentation for
+  - [Implementing Retrieval-Augmented Generation (RAG) with LangChain and Scaleway Generative APIs](/tutorials/how-to-implement-rag-generativeapis/)
+</Message>
+
 ### Configuration
 
 To use LangChain with Scaleway's Generative APIs, you'll need to install the required dependencies:
@@ -168,6 +175,12 @@ To use Continue Dev with Scaleway's Generative APIs, you'll need to modify the `
     "provider": "scaleway",
     "model": "bge-multilingual-gemma2",
     "apiKey": "<API secret key>"
+  },
+  "tabAutocompleteModel": {
+    "model": "qwen2.5-coder-32b",
+    "title": "Qwen2.5 Coder Autocomplete",
+    "provider": "scaleway",
+    "apiKey": "<API secret key>"
   }
 }
 ```
@@ -202,7 +215,7 @@ To use Hugging Face for text generation, you can call the `generator` function:
 ```python
 print(generator("Write a short poem about the ocean"))
 ```
-## API clients and custom integrations
+## Custom HTTP integrations
 
 You can interact with Scaleway's Generative APIs directly using any HTTP client.
 
@@ -222,9 +235,14 @@ curl https://api.scaleway.ai/v1/chat/completions \
   Make sure to replace `<API secret key>` with your actual API key.
 </Message>
 
-### Python example
+### Python HTTP example
 
-To use Python with Scaleway's Generative APIs, you can use the following code:
+To perform HTTP requests with Scaleway's Generative APIs, you'll need to install `requests` dependency:
+```bash
+pip install requests
+```
+
+Then, you can use the following code:
 ```python
 import requests
 headers = {
@@ -240,4 +258,4 @@ print(response.json()["choices"][0]["message"]["content"])
 ```
 <Message type="tip">
   Make sure to replace `<API secret key>` with your actual API key.
-</Message>
\ No newline at end of file
+</Message>