How to use the power of AI Chat in DBeaver

00:03:47
https://www.youtube.com/watch?v=X_2o9oRp5Sg

概要

TLDRThe video discusses how DBeaver's AI assistant, now enhanced with an AI chat mode, makes SQL query generation easier. Users can input prompts in natural language, and the AI generates and refines SQL queries. The presenter highlights the case of Lewis, a database expert, who uses this feature to create a company report for an investor meeting. He inputs prompts like "show all customers and invoices" and "add total of each invoice," allowing the AI to generate accurate SQL queries. By refining these prompts, Lewis enhances the dataset for his presentation, such as sorting by total and removing unnecessary IDs. This feature vastly simplifies query creation, reduces manual SQL coding, and enhances productivity, allowing users to make corrections by adding more prompts if the initial output isn't fully accurate.

収穫

  • 💡 AI technologies are used in databases, enabling new features in DBeaver.
  • 🆕 Introduction of the AI chat mode for generating SQL queries.
  • 👤 Lewis, the database expert, utilizes the AI chat mode for business reporting.
  • 💬 Easy generation and execution of SQL queries via natural language prompts.
  • 🔄 Ability to refine queries by adding additional prompts.
  • 📊 Enhance reports by sorting data and formatting results.
  • 🔍 Simplifies SQL query creation, reducing manual coding.
  • 📧 Export results for easy sharing and presentation preparation.
  • 🔔 Encouragement to subscribe for updates and new features.

タイムライン

  • 00:00:00 - 00:03:47

    D Beaver's YouTube channel introduces their latest AI-driven features for database management applications. A notable feature is the AI chat mode, which allows users to generate SQL queries through natural language prompts. The video showcases a use-case scenario involving Lewis, a database expert, who utilizes this feature to assist his boss with data preparation for a company presentation. By entering simple prompts, Lewis successfully refines his SQL query to obtain the necessary customer and invoice information, enhancing data outputs for optimal report generation. The AI chat mode proves to be a beneficial tool for executing and refining queries efficiently, catering to evolving user needs in a corporate setting. Viewers are encouraged to explore the feature for themselves and subscribe for more updates.

マインドマップ

Mind Map

よくある質問

  • What new feature does the video introduce?

    The video introduces the AI chat mode in DBeaver, which helps generate SQL queries using natural language prompts.

  • How does Lewis utilize AI chat mode for his report?

    Lewis uses AI chat mode to generate SQL queries by entering prompts to display customer and invoice data, adding totals, and sorting by descending order.

  • Can the AI chat mode execute SQL queries directly?

    Yes, the AI chat mode can execute SQL queries directly from the chat interface.

  • What feature allows Lewis to refine his SQL query?

    Lewis refines his SQL query by adding additional prompts to the AI chat mode, which adjusts the query response accordingly.

  • What is the benefit of using the AI chat mode?

    The AI chat mode simplifies SQL query creation by allowing users to use natural language prompts to generate and modify queries.

  • How does the AI chat mode improve productivity?

    It improves productivity by allowing quick and easy query generation and modification without manually writing SQL code.

  • Can users edit their initial prompts if results are inaccurate?

    Yes, users can send additional messages to refine the SQL query if initial results are inaccurate.

  • How does Lewis export his final SQL query results?

    Lewis exports the final result set in a convenient format and sends it to his manager.

  • What did Lewis do to make the presentation easier to read?

    Lewis removes customer and invoice IDs from the results to simplify the presentation.

  • Why should viewers subscribe to the channel?

    Viewers are encouraged to subscribe to keep updated with new features and content.

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オートスクロール:
  • 00:00:00
    welcome to D beaver's YouTube channel
  • 00:00:03
    artificial intelligence Technologies are
  • 00:00:05
    widely used in various fields and the
  • 00:00:07
    database world is no exception about a
  • 00:00:10
    year ago we added AI assistant to our
  • 00:00:12
    desktop applications and with its help
  • 00:00:15
    you can generate SQL queries based on
  • 00:00:18
    prompts written in human language with
  • 00:00:20
    our latest release we've taken it
  • 00:00:22
    further you can also use the AI chat
  • 00:00:25
    mode Let's talk about it in more
  • 00:00:28
    detail today we'll return Lewis the
  • 00:00:31
    database expert who uses D Beaver for
  • 00:00:33
    his work tasks and hobbies he has just
  • 00:00:36
    discovered the AI chat mode and thinks
  • 00:00:38
    this feature might be useful for him
  • 00:00:41
    let's take a look at it
  • 00:00:43
    together the company boss is preparing
  • 00:00:45
    for a meeting with potential investors
  • 00:00:47
    so he's asked Lewis to help with the
  • 00:00:49
    data for the presentation in order to
  • 00:00:52
    support his boss's presentation by
  • 00:00:54
    showing the company's current income
  • 00:00:56
    Lewis has decided to create a report
  • 00:00:58
    consisting of information about their
  • 00:01:00
    customers and all their
  • 00:01:03
    invoices to do this he connects to a
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    corporate database and creates a new SQL
  • 00:01:09
    script however instead of writing an SQL
  • 00:01:12
    query manually he clicks on the AI chat
  • 00:01:15
    tab on the right toolbar he starts with
  • 00:01:18
    the first prompt show all customers and
  • 00:01:20
    invoices and presses control enter to
  • 00:01:23
    send the
  • 00:01:25
    message however in the AI response he
  • 00:01:28
    receives a select query that displays
  • 00:01:30
    only the data from the customer
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    table then Lewis tries to send the
  • 00:01:36
    following prompt add
  • 00:01:38
    invoices this is not the result he
  • 00:01:41
    expects he decides to start over and
  • 00:01:44
    chooses the clear history option from
  • 00:01:47
    the drop-down menu near the send
  • 00:01:49
    button after thinking a little about the
  • 00:01:51
    correct wording he enters the show all
  • 00:01:54
    customers and their invoices prompt into
  • 00:01:57
    a field and click Send again
  • 00:02:01
    the result of converting the message
  • 00:02:02
    into an SQL query appears instantly and
  • 00:02:05
    correctly in the chat moreover Lewis
  • 00:02:08
    notices that it's possible to execute
  • 00:02:10
    the query right from the chat by
  • 00:02:12
    clicking the corresponding button on the
  • 00:02:13
    right side of the message received from
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    the
  • 00:02:17
    AI Lewis can see that the data in the
  • 00:02:19
    result set is not enough for his report
  • 00:02:22
    because the purchase amounts are
  • 00:02:23
    required for the presentation so he adds
  • 00:02:26
    another hint for the AI add total of
  • 00:02:29
    each
  • 00:02:30
    invoice now it looks better just a final
  • 00:02:33
    touch like adding sorting to make it
  • 00:02:36
    more convenient to work with the report
  • 00:02:38
    and to make it easier to show the
  • 00:02:39
    investors the biggest sales sort by
  • 00:02:42
    total
  • 00:02:44
    descending now that everything's ready
  • 00:02:46
    Lewis can keep the result as it is
  • 00:02:49
    however he decides to get rid of the IDS
  • 00:02:51
    to make the presentation easier to read
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    this time he adds the get rid of
  • 00:02:56
    customer and invoice ID prompt great job
  • 00:03:00
    Lewis all he has to do now is export the
  • 00:03:03
    results set in a convenient format and
  • 00:03:06
    email it to the
  • 00:03:07
    manager just as this feature helped
  • 00:03:10
    Lewis the AI chat mode can simplify
  • 00:03:12
    creating your SQL queries when you use
  • 00:03:15
    it you don't need to rewrite your first
  • 00:03:18
    prompt if the result set turns out to be
  • 00:03:20
    slightly inaccurate it's fine to just
  • 00:03:23
    write any additional messages in the
  • 00:03:24
    chat after which you'll receive a
  • 00:03:27
    ready-made query that you can
  • 00:03:28
    immediately execute and get a result set
  • 00:03:31
    try this feature for yourself and find
  • 00:03:33
    out in which cases it can be useful to
  • 00:03:36
    you feel free to subscribe to our
  • 00:03:38
    Channel and hit that Bell button so you
  • 00:03:40
    don't miss any updates thanks for
  • 00:03:43
    watching and see you in our next
  • 00:03:45
    video
タグ
  • DBeaver
  • AI chat
  • SQL queries
  • database
  • AI assistant
  • natural language
  • productivity
  • query generation