feat(gen-apis): add llamaindex

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

@@ -20,7 +20,8 @@ The following table compares AI tools and libraries supported by Scaleway's Gene
 | Tool/Library | Description | Use cases | Integration effort |
 | --- | --- | --- | --- |
 | [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 |
+| [LangChain](#langchain-rag-and-llm-applications) | Library for building AI applications leveraging RAG | Inference, embeddings, document indexing and retrieval | Medium |
+| [LlamaIndex](#llamaIndex-advanced-rag-applications) | Library for building advanced AI RAG applications | Knowledge graph building, document retrieval, data indexing | Medium |
 | [Continue Dev](#continue-dev-ai-coding-assistance) | Library for AI-powered coding assistance | Code completion, code review | Low |
 | [cURL/Python](#custom-http-integrations) | Direct HTTP API calls for custom integrations | Custom applications, data processing | High |
 
@@ -71,6 +72,48 @@ LangChain is a popular library for building AI applications. Scaleway's Generati
   - [Implementing Retrieval-Augmented Generation (RAG) with LangChain and Scaleway Generative APIs](/tutorials/how-to-implement-rag-generativeapis/)
 </Message>
 
+## 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:
+```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:
+```python
+from llama_index.llms.openai_like import OpenAILike
+from llama_index.core.llms import ChatMessage
+
+llm = OpenAILike(
+  model="llama-3.1-8b-instruct",
+  api_key="<API secret key>",
+  api_base="https://api.scaleway.ai/v1",
+  max_tokens=512,
+  temperature=0.7,
+  top_p=1,
+  presence_penalty=0,
+)
+```
+<Message type="tip">
+    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:
+```python
+response = llm.chat([ChatMessage("Could you tell me about Scaleway please ?")])
+print(response)
+```
+
+Finally, run `main.py`:
+```python
+python main.py
+```
+The LLM response should display an answer:
+```bash
+Generally, Scaleway is a reliable and secure cloud provider that offers a range of services for businesses and developers.
+```
+
 ## Continue Dev (AI coding assistance)
 
 Continue Dev is a library that provides AI-powered coding assistance. Scaleway's Generative APIs support Continue Dev for code completion and more.
@@ -124,4 +167,4 @@ print(response.json()["choices"][0]["message"]["content"])
 ```
 <Message type="tip">
   Make sure to replace `<API secret key>` with your actual API key.
-</Message>
+</Message>