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remove telementry cells (#400)
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‎tutorials/27_First_RAG_Pipeline.ipynb

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"pip install \"sentence-transformers>=4.1.0\""
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Wl_jYERtO-qa"
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},
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"source": [
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"### Enabling Telemetry\n",
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"\n",
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"Knowing you're using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/enabling-telemetry) for more details."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"id": "A76B4S49O-qa"
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},
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"outputs": [],
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"source": [
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"from haystack.telemetry import tutorial_running\n",
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"\n",
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"tutorial_running(27)"
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]
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{
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‎tutorials/28_Structured_Output_With_Loop.ipynb

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"pip install colorama"
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "nTA5fdvCLMKD"
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},
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"source": [
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"### Enabling Telemetry\n",
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"\n",
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"Enable telemetry to let us know you're using this tutorial. (You can always opt out by commenting out this line). For details, see [Telemetry](https://docs.haystack.deepset.ai/docs/telemetry)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"id": "Apay3QSQLKdM"
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/amna.mubashar/Library/Python/3.9/lib/python/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n"
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]
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}
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],
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"source": [
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"from haystack.telemetry import tutorial_running\n",
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"\n",
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"tutorial_running(28)"
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]
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},
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{
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"cell_type": "markdown",
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‎tutorials/29_Serializing_Pipelines.ipynb

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"pip install haystack-ai"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "MhnSGxXWHNsD"
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},
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"source": [
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"### Enabling Telemetry\n",
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"\n",
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"Knowing you're using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/enabling-telemetry) for more details."
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]
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "ikIM1o9cHNcS"
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},
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"outputs": [],
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"source": [
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"from haystack.telemetry import tutorial_running\n",
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"\n",
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"tutorial_running(29)"
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]
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{
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"cell_type": "markdown",
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‎tutorials/30_File_Type_Preprocessing_Index_Pipeline.ipynb

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"pip install gdown"
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]
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "HnXumz7EarJx"
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},
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"source": [
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"### Enabling Telemetry\n",
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"\n",
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"Knowing you’re using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/enabling-telemetry) for more details."
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"id": "CkvJIU7FmDf9"
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/amna.mubashar/Library/Python/3.9/lib/python/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n"
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]
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}
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],
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"source": [
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"from haystack.telemetry import tutorial_running\n",
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"\n",
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"tutorial_running(30)"
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‎tutorials/31_Metadata_Filtering.ipynb

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"pip install haystack-ai"
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"cell_type": "markdown",
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"metadata": {
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"id": "07gGBcxBgi8Y"
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},
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"source": [
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"### Enabling Telemetry\n",
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"\n",
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"Knowing you're using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/enabling-telemetry) for more details."
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "PtJZlNtkHZr-"
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"outputs": [],
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"source": [
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"from haystack.telemetry import tutorial_running\n",
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"\n",
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"tutorial_running(31)"
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"cell_type": "markdown",
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‎tutorials/32_Classifying_Documents_and_Queries_by_Language.ipynb

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"pip install langdetect"
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"cell_type": "markdown",
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"metadata": {
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"id": "32oB-HJlGXmY"
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},
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"source": [
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"### Enabling Telemetry\n",
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"\n",
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"Knowing you're using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/enabling-telemetry) for more details."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "Ubr7yVt6Gbnj"
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"outputs": [],
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"source": [
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"from haystack.telemetry import tutorial_running\n",
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"\n",
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"tutorial_running(32)"
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‎tutorials/33_Hybrid_Retrieval.ipynb

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"pip install accelerate"
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"cell_type": "markdown",
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"metadata": {
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"id": "CJBcPNbBlXQq"
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},
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"source": [
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"### Enabling Telemetry\n",
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"\n",
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"Knowing you're using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/telemetry) for more details."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "lUbTGVo4lXQv"
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"outputs": [],
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"source": [
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"from haystack.telemetry import tutorial_running\n",
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"\n",
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"tutorial_running(33)"
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‎tutorials/34_Extractive_QA_Pipeline.ipynb

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"pip install haystack-ai accelerate \"sentence-transformers>=4.1.0\" \"datasets>=2.6.1\""
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "bo6LztWXURaA"
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"source": [
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"Knowing you’re using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/enabling-telemetry) for more details."
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "y_btxLmYUUM9"
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"outputs": [],
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"source": [
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"from haystack.telemetry import tutorial_running\n",
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"tutorial_running(34)"
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‎tutorials/35_Evaluating_RAG_Pipelines.ipynb

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"pip install \"sentence-transformers>=4.1.0\""
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"cell_type": "markdown",
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"metadata": {
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"id": "Wl_jYERtO-qa"
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"source": [
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"### Enabling Telemetry\n",
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"\n",
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"Knowing you're using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/enabling-telemetry) for more details."
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"cell_type": "code",
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"outputs": [],
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"from haystack.telemetry import tutorial_running\n",
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"source": [
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"results_df = evaluation_result.detailed_report(output_format='df')\n",
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"results_df = evaluation_result.detailed_report(output_format=\"df\")\n",
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"results_df"
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‎tutorials/36_Building_Fallbacks_with_Conditional_Routing.ipynb

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"pip install haystack-ai"
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"metadata": {
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"id": "WBkJ7d3hZkOJ"
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"source": [
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"### Enable Telemetry\n",
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"\n",
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"Knowing you're using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/telemetry) for more details."
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]
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{
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"cell_type": "code",
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"metadata": {
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"outputs": [],
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"source": [
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"from haystack.telemetry import tutorial_running\n",
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‎tutorials/37_Simplifying_Pipeline_Inputs_with_Multiplexer.ipynb

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"pip install haystack-ai \"huggingface_hub>=0.23.0, <0.28.0\""
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"cell_type": "markdown",
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"metadata": {
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"source": [
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"### Enable Telemetry\n",
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"\n",
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"Knowing you're using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/telemetry) for more details."
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]
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},
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"cell_type": "code",
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"metadata": {
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"outputs": [],
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"source": [
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"from haystack.telemetry import tutorial_running\n",
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"tutorial_running(37)"
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]
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‎tutorials/39_Embedding_Metadata_for_Improved_Retrieval.ipynb

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"pip install haystack-ai wikipedia sentence-transformers"
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"cell_type": "markdown",
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"source": [
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"### Enable Telemetry\n",
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"\n",
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"Knowing you're using this tutorial helps us decide where to invest our efforts to build a better product but you can always opt out by commenting the following line. See [Telemetry](https://docs.haystack.deepset.ai/docs/telemetry) for more details."
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},
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"cell_type": "code",
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"outputs": [],
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"source": [
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"tutorial_running(39)"
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]
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},
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"cell_type": "markdown",
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