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"id": "_1kaGD3GcG1O"
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"id": "_1kaGD3GcG1O"
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},
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},
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"source": [
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"source": [
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"# 🎯 What's Next\n",
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"## 🎯 What's Next\n",
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"\n",
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"\n",
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"This notebook has demonstrated a basic, minimal example of **reasoning-based**, **vectorless** RAG with PageIndex. The workflow illustrates the core idea:\n",
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"This notebook has demonstrated a basic, minimal example of **reasoning-based**, **vectorless** RAG with PageIndex. The workflow illustrates the core idea:\n",
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"> *Generating a hierarchical tree structure from a document, reasoning over that tree structure, and extracting relevant context, without relying on a vector database or top-k similarity search*.\n",
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"> *Generating a hierarchical tree structure from a document, reasoning over that tree structure, and extracting relevant context, without relying on a vector database or top-k similarity search*.\n",
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"cell_type": "markdown",
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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"# 🔎 Learn More About PageIndex\n",
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"## 🔎 Learn More About PageIndex\n",
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" <a href=\"https://vectify.ai\">🏠 Homepage</a> • \n",
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" <a href=\"https://vectify.ai\">🏠 Homepage</a> • \n",
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" <a href=\"https://dash.pageindex.ai\">🖥️ Dashboard</a> • \n",
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" <a href=\"https://dash.pageindex.ai\">🖥️ Dashboard</a> • \n",
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" <a href=\"https://docs.pageindex.ai/quickstart\">📚 API Docs</a> • \n",
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" <a href=\"https://docs.pageindex.ai/quickstart\">📚 API Docs</a> • \n",
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