n8n-workflows/workflows/Talk to your SQLite database with a LangChain AI Agent.json

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        "content": "## Run this part only once\nThis section:\n* downloads the example zip file from https://www.sqlitetutorial.net/sqlite-sample-database/\n* extracts the archive (it contains only a single file)\n* saves the extracted `chinook.db` SQLite database locally\n\nNow you can use chat to \"talk\" to your data!"
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        "content": "## On every chat message:\n* the local SQLite database is loaded\n* JSON from Chat Trigger is combined with SQLite binary data"
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        "content": "### LangChain SQL Agent can make several queries before producing the final answer.\nTry these examples:\n1. \"Please describe the database\". This input usually requires just 1 query + an extra observation to produce a final answer.\n2. \"What are the revenues by genre?\". This input will launch a series of Agent actions, because it needs to make several queries.\n\nThe final answer is stored in the memory and will be recalled on the next input from the user."
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