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langgraph-agent summary update
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recipes/use_cases/agents/langchain/langgraph-agent.ipynb

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{
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"cell_type": "code",
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"execution_count": null,
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"id": "026d2c9b-1ba0-495d-8999-efe2bd8a8764",
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"cell_type": "markdown",
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"id": "d42667bc-db89-470b-b9f2-f1a148c35266",
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"metadata": {},
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"outputs": [],
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"source": []
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"source": [
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"Agent Executor is a nice and useful higher-level abstraction, with less code and more abstraction, but harder to audit and less reliable.\n",
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"LangGraph is lower level, with more code (all the details of each tool use are specified in each node), less abstraction, easier to audit, and more reliable. LangGraph is more effort to implement, but we understand exactly what is going on. In the next [notebook](langgraph-rag-agent), we'll show how to apply LangGraph to build advanced Llama 3 powered RAG agents."
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]
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"metadata": {

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