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.

How to use the power of AI Chat in DBeaver

00:03:47

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

Summary

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.

Takeaways

💡 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.

Timeline

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.

Mind Map

Frequently Asked Question

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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Subtitles

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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
00:01:06
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
00:01:33
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
00:02:15
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
00:02:54
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