Add links to the overview

tutorials/27_First_RAG_Pipeline.ipynb

@@ -25,7 +25,7 @@
    "source": [
     "## Overview\n",
     "\n",
-    "This tutorial shows you how to create a generative question-answering pipeline using the retrieval-augmentation ([RAG](https://www.deepset.ai/blog/llms-retrieval-augmentation)) approach with Haystack 2.0. The process involves three main components: InMemoryBM25Retriever for fetching relevant documents, PromptBuilder for creating a template prompt, and GPTGenerator for generating responses.\n",
+    "This tutorial shows you how to create a generative question-answering pipeline using the retrieval-augmentation ([RAG](https://www.deepset.ai/blog/llms-retrieval-augmentation)) approach with Haystack 2.0. The process involves three main components: [InMemoryBM25Retriever](https://docs.haystack.deepset.ai/v2.0/docs/inmemorybm25retriever] for fetching relevant documents, [PromptBuilder](https://docs.haystack.deepset.ai/v2.0/docs/promptbuilder) for creating a template prompt, and [GPTGenerator](https://docs.haystack.deepset.ai/v2.0/docs/gptgenerator) for generating responses.\n",
     "\n",
     "For this tutorial, you'll use the Wikipedia pages of [Seven Wonders of the Ancient World](https://en.wikipedia.org/wiki/Wonders_of_the_World) as Documents, but you can replace them with any text you want.\n"
    ]