SQL agent with memory

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        "content": "## Run this part only once
This section:
* downloads the example zip file from https://www.sqlitetutorial.net/sqlite-sample-database/
* extracts the archive (it contains only a single file)
* saves the extracted `chinook.db` SQLite database locally

Now you can use chat to \"talk\" to your data!"
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        "content": "## On every chat message:
* the local SQLite database is loaded
* 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.
Try these examples:
1. \"Please describe the database\". This input usually requires just 1 query + an extra observation to produce a final answer.
2. \"What are the revenues by genre?\". This input will launch a series of Agent actions, because it needs to make several queries.

The final answer is stored in the memory and will be recalled on the next input from the user."
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