updated the 404 links in tut 27, 35 and 40

Author: bilgeyucel

tutorials/27_First_RAG_Pipeline.ipynb

@@ -28,18 +28,6 @@
     "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"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "QXjVlbPiO-qZ"
-   },
-   "source": [
-    "## Preparing the Colab Environment\n",
-    "\n",
-    "- [Enable GPU Runtime in Colab](https://docs.haystack.deepset.ai/docs/enabling-gpu-acceleration)\n",
-    "- [Set logging level to INFO](https://docs.haystack.deepset.ai/docs/logging)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -361,7 +349,7 @@
     "### Initialize a ChatGenerator\n",
     "\n",
     "\n",
-    "ChatGenerators are the components that interact with large language models (LLMs). Now, set `OPENAI_API_KEY` environment variable and initialize a [OpenAIChatGenerator](https://docs.haystack.deepset.ai/docs/OpenAIChatGenerator) that can communicate with OpenAI GPT models. As you initialize, provide a model name:"
+    "ChatGenerators are the components that interact with large language models (LLMs). Now, set `OPENAI_API_KEY` environment variable and initialize a [OpenAIChatGenerator](https://docs.haystack.deepset.ai/docs/openaichatgenerator) that can communicate with OpenAI GPT models. As you initialize, provide a model name:"
    ]
   },
   {
@@ -626,4 +614,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

tutorials/35_Evaluating_RAG_Pipelines.ipynb

@@ -52,18 +52,6 @@
     "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/5PrzXaZ0-qk?si=lgBSfHatbV2i59J-\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen></iframe>\n"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "QXjVlbPiO-qZ"
-   },
-   "source": [
-    "## Preparing the Colab Environment\n",
-    "\n",
-    "- [Enable GPU Runtime in Colab](https://docs.haystack.deepset.ai/docs/enabling-gpu-acceleration)\n",
-    "- [Set logging level to INFO](https://docs.haystack.deepset.ai/docs/setting-the-log-level)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -383,7 +371,7 @@
     "\n",
     "In this example, we'll be using:\n",
     "- [`InMemoryEmbeddingRetriever`](https://docs.haystack.deepset.ai/docs/inmemoryembeddingretriever) which will get the relevant documents to the query.\n",
-    "- [`OpenAIChatGenerator`](https://docs.haystack.deepset.ai/docs/OpenAIChatGenerator) to generate answers to queries. You can replace `OpenAIChatGenerator` in your pipeline with another `ChatGenerator`. Check out the full list of generators [here](https://docs.haystack.deepset.ai/docs/generators)."
+    "- [`OpenAIChatGenerator`](https://docs.haystack.deepset.ai/docs/openaichatgenerator) to generate answers to queries. You can replace `OpenAIChatGenerator` in your pipeline with another `ChatGenerator`. Check out the full list of generators [here](https://docs.haystack.deepset.ai/docs/generators)."
    ]
   },
   {

tutorials/40_Building_Chat_Application_with_Function_Calling.ipynb

@@ -27,7 +27,7 @@
     "\n",
     "📚 Useful Sources:\n",
     "* [OpenAIChatGenerator Docs](https://docs.haystack.deepset.ai/docs/openaichatgenerator)\n",
-    "* [OpenAIChatGenerator API Reference](https://docs.haystack.deepset.ai/reference/generator-api#openaichatgenerator)\n",
+    "* [OpenAIChatGenerator API Reference](https://docs.haystack.deepset.ai/reference/generators-api#openaichatgenerator)\n",
     "* [🧑‍🍳 Cookbook: Function Calling with OpenAIChatGenerator](https://github.com/deepset-ai/haystack-cookbook/blob/main/notebooks/function_calling_with_OpenAIChatGenerator.ipynb)\n",
     "\n",
     "[OpenAI's function calling](https://platform.openai.com/docs/guides/function-calling) connects large language models to external tools. By providing a `tools` list with functions and their specifications to the OpenAI API calls, you can easily build chat assistants that can answer questions by calling external APIs or extract structured information from text.\n",