Automatisation MongoDB avec n8n : recommandations de films AI

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        "query": "={{   $fromAI(\"pipeline\", \"The MongoDB pipeline to execute\" , \"string\" , [{\"$match\" : { \"rating\" : 5 }  }])}}",
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        "collection": "movies",
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        "text": "=Assistant for best movies context, you have tools to search using \"MongoDBAggregate\" and you need to provide a MongoDB aggregation pipeline code array as a \"query\" input param. User input and request: {{ $json.chatInput }}. Only when a user confirms a favorite movie use the insert favorite using the \"insertFavorite\" workflow tool of to insertFavorite as { \"title\" : \"<TITLE>\" }.",
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        "content": "## AI Agent powered by OpenAI and MongoDB \n\nThis flow is designed to work as an AI autonomous agent that can get chat messages, query data from MongoDB using the aggregation framework.\n\nFollowing by augmenting the results from the sample movies collection and allowing storing my favorite movies back to the database using an \"insert\" flow. "
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        "content": "## Process\n\nThe message is being processed by the \"Chat Model\" and the correct tool is used according to the message. "
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