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 |
 | [Chatbox AI](#chatbox-ai) | Desktop client for generative APIs, available on Windows, Mac, Linux | AI copilot for documents, images, or code| Low |
 | [cURL/Python](#custom-http-integrations) | Direct HTTP API calls for custom integrations | Custom applications, data processing | High |
@@ -72,6 +73,48 @@ LangChain is a popular library for building AI applications. Scaleway's Generati
   Refer to our dedicated documentation for [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. 
+1. Install the required dependencies to use the LlamaIndex framework with Scaleway's Generative APIs:
+```bash
+pip install llama-index-llms-openai-like
+```
+
+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
+
+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>
+
+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)
+```
+
+4. 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.
+```
+
 ### Javascript (Typescript)
 
 To perform chat conversations with Langchain, first install `langchain` and `@langchain/openai` packages using your node package manager.
@@ -123,6 +166,7 @@ To perform chat conversations with Langchain, first install `langchain` and `@la
 
 Note that other Langchain objects from OpenAI client library are also compatible, such as `OpenAI` and `OpenAIEmbeddings`.
 
+
 ## 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.