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docs/examples: fix links (#19996)
* Replace paths: s/docs\/docs\/examples/docs\/examples/ * Move agentcore_memory_sample to docs/examples * Fix docs/docs/module_guides and .md -> .mdx * fix docs/docs/getting_started and .md -> .mdx * fix docs/docs/understanding and .md -> .mdx
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‎docs/examples/agent/Chatbot_SEC.ipynb‎

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"id": "e8c3c7da",
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"metadata": {},
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/agent/Chatbot_SEC.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/agent/Chatbot_SEC.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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‎docs/examples/agent/agent_builder.ipynb‎

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"source": [
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"# GPT Builder Demo\n",
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"\n",
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/agent/agent_builder.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/agent/agent_builder.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"\n",
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"Inspired by GPTs interface, presented at OpenAI Dev Day 2023. Construct an agent with natural language.\n",
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"\n",

‎docs/examples/agent/agent_workflow_multi.ipynb‎

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"# Multi-Agent Report Generation with AgentWorkflow\n",
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"\n",
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/agent/agent_workflow_multi.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/agent/agent_workflow_multi.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"\n",
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"In this notebook, we will explore how to use the `AgentWorkflow` class to create multi-agent systems. Specifically, we will create a system that can generate a report on a given topic.\n",
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"\n",

‎docs/examples/agent/agent_workflow_research_assistant.ipynb‎

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"source": [
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"# Agent Workflow + Research Assistant using AgentQL\n",
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"\n",
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/agent/agent_workflow_research_assistant.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/agent/agent_workflow_research_assistant.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"\n",
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"In this tutorial, we will use an `AgentWorkflow` to build a research assistant OpenAI agent using tools including AgentQL's browser tools, Playwright's tools, and the DuckDuckGoSearch tool. This agent performs a web search to find relevant resources for a research topic, interacts with them, and extracts key metadata (e.g., title, author, publication details, and abstract) from those resources."
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‎docs/examples/agent/agents_as_tools.ipynb‎

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"# Multi-Agent Report Generation using Agents as Tools\n",
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/agent/agents_as_tools.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/agent/agents_as_tools.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"\n",
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"In this notebook, we will explore how to create a multi-agent system that uses a top-level agent to orchestrate a group of agents as tools. Specifically, we will create a system that can research, write, and review a report on a given topic.\n",
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"\n",

‎docs/examples/agent/anthropic_agent.ipynb‎

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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/agent/mistral_agent.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/agent/mistral_agent.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"name": "stdout",
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"text": [
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"--2025-03-24 12:52:55-- https://raw.githubusercontent.com/run-llama/llama_index/main/docs/docs/examples/data/10k/uber_2021.pdf\n",
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"--2025-03-24 12:52:55-- https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/10k/uber_2021.pdf\n",
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"Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.108.133, 185.199.109.133, ...\n",
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"Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.\n",
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"HTTP request sent, awaiting response... 200 OK\n",
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"source": [
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"!mkdir -p 'data/10k/'\n",
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"!wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/docs/examples/data/10k/uber_2021.pdf' -O 'data/10k/uber_2021.pdf'"
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"!wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/10k/uber_2021.pdf' -O 'data/10k/uber_2021.pdf'"
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‎docs/examples/agent/bedrock_converse_agent.ipynb‎

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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/agent/bedrock_converse_agent.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/agent/bedrock_converse_agent.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"!mkdir -p 'data/10k/'\n",
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"!curl -o 'data/10k/uber_2021.pdf' 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/docs/examples/data/10k/uber_2021.pdf'"
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"!curl -o 'data/10k/uber_2021.pdf' 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/10k/uber_2021.pdf'"
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‎docs/examples/agent/custom_multi_agent.ipynb‎

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"# Custom Planning Multi-Agent System\n",
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/agent/custom_multi_agent.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/agent/custom_multi_agent.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"In this notebook, we will explore how to prompt an LLM to write, refine, and follow a plan to generate a report using multiple agents.\n",
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‎docs/examples/agent/gemini_agent.ipynb‎

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"!mkdir -p 'data/10k/'\n",
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"!wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/docs/examples/data/10k/uber_2021.pdf' -O 'data/10k/uber_2021.pdf'"
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"!wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/10k/uber_2021.pdf' -O 'data/10k/uber_2021.pdf'"
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‎docs/examples/agent/memory/composable_memory.ipynb‎

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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/agent/memory/composable_memory.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/agent/memory/composable_memory.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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