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Reorganize lab structure and add evaluation/observability notebooks
- Reorganize 1-Begin-Here labs into structured subdirectories - Add new evaluation notebooks (quality, safety, agents) - Add agent exploration labs (service & framework) - Update requirements.txt with tracing dependencies - Add comprehensive .env.sample template - Update .gitignore to exclude tmp/, *.old/, backup folders
1 parent e0cb20d commit 3066b8e

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.gitignore

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# ForBeginners folder
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scripts/ForBeginners/
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scripts/ForBeginners.old/
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# Temporary and backup folders
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tmp/
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*.old/
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*.orig/
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**/.old/
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**/.orig/
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# User-specific files (MonoDevelop/Xamarin Studio)
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*.userprefs
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# .github
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.venv
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.github/chatmodes/
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# Ignore tmp/ workspaces
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tmp/

lab/1-Begin-Here/01-create-search-index.ipynb renamed to lab/1-Begin-Here/1-setup/01-create-search-index.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"import os\n",
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"import pandas as pd\n",
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},
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{
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"cell_type": "code",
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"source": [
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},
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"cell_type": "code",
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"metadata": {},
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"source": [
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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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"outputs": [],
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"source": [
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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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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"deleting index zava-products\n",
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"Creating index zava-products\n",
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"Creating index zava-products\n",
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"Index zava-products created successfully\n",
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"Index zava-products created successfully\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"# Configure Azure AI Search service connection\n",
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"zava_search = os.environ[\"AZURE_AISEARCH_ENDPOINT\"]\n",
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Processing Zava product catalog and generating embeddings...\n",
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"Processing first 51 products from catalog\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"# Process Zava product catalog and generate embeddings\n",
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"print(f\"Processing Zava product catalog and generating embeddings...\")\n",
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Uploading 51 Zava products to index zava-products\n",
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"Successfully uploaded 51 products to the search index!\n",
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"The Zava product catalog is now ready for semantic search.\n",
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"Successfully uploaded 51 products to the search index!\n",
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"The Zava product catalog is now ready for semantic search.\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"\n",
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"# Upload all product documents to the index\n",
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