Luyện nói tiếng Anh bằng Shadowing qua video: How to Build AI ChatBot with Custom Knowledge Base in 10 mins

what if you could turn your website

and all of those pdf documents manuals guides ebooks

and reports into a helpful chatbot imagine asking questions

and getting instant answers directly from your website your documents

or any ebook well guess what i found a way to

do this in less than 10 minutes in this video i'll

show you how easy it is to build your own ai

chatbot with custom knowledge base without any coding skills you can do this for your business

or other businesses

and start making money by the end of this tutorial video

not only you'll be able to create a chat bot

and train your ai based on your own data using pdf html txt csv word documents

and powerpoint presentation files but also integrate the chatbot into your website facebook messenger Slack, Discord, or Telegram.

In this video, you'll learn how to create a data store agent, how to add unstructured data to your agent's data store,

how to enable voice and chat experiences for your agent, how to test agent and simulate customer questions, how to view conversation history and analytics for your agent,

all of that in about 10 minutes.

Without any further ado, Let's get started.

Alright, so before we start, let me show you the document that we'll be using as the data source.

This is budget of the US government and it's 188 pages long.

So to get started, we'll go to cloud .gibble .com and log in with your account and click on console.

So, from the console, click Search for Agent Builder.

Click on Agent Builder.

Before creating a new app, make sure that the Vertex AI API and the Dialogflow APIs are enabled.

If they're not enabled, you'll get a prompt and then you can enable it on the screen.

Select Chat and provide the company name.

Provide the agent name

Click continue

We'll create a datastore This is where we can create a datastore Click on create datastore

You get three options here You can provide a website URL

And it will automatically crawl website content From a list of domains

that you defined You can provide the data from your storage bucket, or you can import data manually by calling the API.

I'll select the cloud storage, and you can import a folder or you can import a file.

I'll select File and hit Browse.

I created this bucket earlier where I uploaded that PDF document that I showed you.

I've already uploaded it.

But for your case, you can upload any document to your cloud storage, and you'll be able to select it from here.

Click Select.

So PDF, HTML, text files, CSV, Word document, and presentation files fall under the unstructured documents.

Now, you can use that as the data source, or you can use JSON -L for unstructured documents with metadata information.

You can click on this link for more information, or you can use CSV file for structured frequently asked data.

This is only for chat.

But for our example, we're going to be using the unstructured document.

Click on continue.

I'm going to name the data store US budget 2025 -25 and click on create.

It's going to create a data store.

Okay, so it created a data store.

I will select the data store and click on create.

okay

so the data store has been created over here I can

click on over on this link to see more information on this screen I can see the activity

and I need to make sure that data has been imported successfully without any errors.

And we are using the digital parser.

Now we can hit preview to see the preview.

Now we'll test our agent.

Testing is an important part of working with conversational agents to find the bugs, identify limitations and simulate a customer experience.

You can start an interactive session with your chatbot

So to see how it responds to various questions that a customer might ask, click on the test agent.

Link at the top right -hand corner.

This is where we can test the chatbot.

We can write hello.

And we have more control over estimating the response of the agent from the screen.

We can enable logging by going here and checking this enable conversational history.

By checking this box, we will get the conversation history.

Let's suppose we put this on our website and people interact with our chatbot.

And if you want to be able to see those interactions, you need to check this box and hit save.

We'll click on manage, click on integration.

Let me show you a very cool thing.

You can add a phone gateway to your bot, which will make use of speech -to -text and text -to -speech capabilities in the Google Cloud.

You can hit on this manage button to enable that feature

but for now I'm happy with the text chatbot

and text based I can click on connect we can enable this unauthenticated API

which means that will allow people without authentication to interact with the chatbot

and I'll click on enable unauthenticated API this is the code

that you can use to put on your website

and you'll get the chatbot on your website

so to see how it would look like click on try it now

and you get this um you get this icon at the bottom uh right hand corner

so you click on this and this is the chat box

that you you can put on your website what are president's top three hour credits for year 2025 Bye.

The chatbot read the document and responded with prison -stopped economic parodies, lowering costs for American families.

The administration is working to bring down the prescription drug costs, health insurance premiums, utility bills, costs for everyday goods, all while taking on junk fees that some allies,

banks, and other companies used to rip off Americans it also is grounded the data

and if i click on this link it will show me exactly where it found

that information from and as you can see it's on page nine

and this is where the chatbot found

that information is lowering costs for hardworking americans the administration is

working to bring down prescription drug costs health insurance we are grounding it with our own data source

So let me ask it another question.

Let me ask, what has the president invested in?

The president has invested in America and the American people by signing into law historic legislation, such as the American Rescue Plan,

the Bipartisan Infrastructure Law, the CHIPS, the Science Act, and the Inflation Reduction Act.

Let me ask you another question like,

what are some of the accomplishments of the Biden administration?

The Biden administration has made historic investments in mental health care, including nearly $1 billion to support the 988 Suicide and Crisis Lifeline.

The administration is also committed to investing in training more mental health professionals and has expanded certified community behavioral health clinics nationwide.

When testing your virtual agent, if you find that your bot's answers do not meet your expectations,

you can always add more URLs to the data source to improve how your bot handles questions and answers.

You can add more URLs, you can add more documents.

Other than testing many different paths the customer might make, how else can you determine where the problem and friction points are in your virtual agent?

100

Conversation history and analytics help.

101

So we enabled, I showed you where you can enable that conversation history under the agents.

102

I already enabled that.

103

And to get to that conversation history, you can click on conversation history and this is where you're going to see the conversation history.

104

And I can click on any of these

105

and it will show me my interaction with the chat bot

106

I've asked it's going to show the history of my conversation

107

and once you put that on your website

108

and you would be able to see the interaction of your

109

chat bot with your visitors website visitors congratulations using the verdicts

110

ai conversation in dialogue flow cx you have successfully created a

111

data store agent your virtual agent can answer hundreds of different questions about your website or

112

any document pdf manual guides ebooks and reports etc

113

that you may have you don't have to go through the

114

manual process of creating a large number of intense training phrases response messages.

115

We literally created this in less than 10 minutes.

116

this video was requested in the comment section by a few of my subscribers i read all of the comments

117

and i'd love to hear your thoughts feel free to share your ideas for upcoming videos

118

if you don't have any questions

119

or feedback you can support my work by just typing coding

120

money in the comment section it really helps with the youtube algorithms

121

if you found this video useful a thumbs up would be

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highly appreciated stay tuned for exciting new videos to ensure you don't miss out please subscribe

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and hit the notification bell icon you may also want to check out the video

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that pops up on the screen somewhere until next time thank you for watching

✨ Video gợi ý

23 câu

Từ vựng và ghi chú luyện nói cho bài học này

Bài luyện nói này dựa trên video “How to Build AI ChatBot with Custom Knowledge Base in 10 mins”. Những từ được nhắc lại nhiều nhất trong bài: click, agent, document, website, chatbot. Video này có 124 câu và 1542 từ để luyện shadowing. Phần lời nói dài 10:45. Người nói giữ tốc độ đều, khoảng 143 từ mỗi phút, vừa sức để nói đuổi theo. 82% số từ nằm trong 3.000 từ tiếng Anh thông dụng nhất; phần còn lại nên xem trước khi luyện.

Từ vựng quan trọng trong video

15 từ đáng học trong video, kèm phiên âm và nghĩa:

Từ	Phiên âm	Nghĩa
select động từ	/sɪˈlɛkt/	lựa
cloud danh từ	/ˈklaʊ̯d/	mây
import danh từ	/ˈɪm.pɔɹt/	nhập khẩu
upload động từ	/ˈʌpˌloʊd/	tải lên
icon danh từ	/ˈaɪ.kɑn/	biểu tượng
console danh từ	/ˈkɑn.soʊl/	bàn điều khiển, bàn kiểm soát
bucket danh từ	/ˈbʌkɪt/	xô
interact động từ	/ɪn.təˈɹækt/	tương tác
visitor danh từ	/ˈvɪzɪtɚ/	khách
prescription danh từ	/pɹəˈskɹɪp.ʃən/	toa thuốc
everyday tính từ	/ˈɛvɹiˌdeɪ/	hằng ngày, thường ngày
custom danh từ	/ˈkʌstəm/	tập quán, phong tục
helpful tính từ	/ˈhɛlp.fl̩/	hay giúp đỡ
congratulations	/kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/	chúc mừng, xin chúc mừng
connect động từ	/kəˈnɛkt/	nối

Cụm động từ bạn sẽ nghe

Từ	Nghĩa
check out động từ	tính tiền, trả phòng
rip off động từ	chặt chém

Ngữ pháp trong video

Những cấu trúc người nói dùng nhiều nhất, kèm đúng cụm từ trong video:

Cấu trúc	Trong video
Câu điều kiện if + mệnh đề, will/would + động từ — điều kiện và kết quả	If they're not enabled, you'll get
Thì hiện tại hoàn thành have/has + quá khứ phân từ — việc đã xảy ra nhưng còn liên quan đến hiện tại	I've already uploaded · has been created · has been imported
Câu bị động be + quá khứ phân từ — nhấn vào việc xảy ra, không phải người làm	are enabled · has been created · has been imported

Phát âm cần chú ý

Người nói dùng 25 dạng rút gọn, ví dụ we'll, you'll, I'll. Hãy nói theo dạng ngắn đúng như bạn nghe.

Âm “th”: algorithm /ˈælɡəɹɪðm̩/, thumb /ˈθʌm/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/
Âm “sh” và “zh”: interaction /ˌɪn.təˈɹæk.ʃən/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, prescription /pɹəˈskɹɪp.ʃən/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, integration /ˌɪn.tɪˈɡɹeɪ.ʃən/
Từ dài — đặt trọng âm cho đúng: interaction /ˌɪn.təˈɹæk.ʃən/, successfully /səkˈsɛs.fə.li/, analytics /ˌæn.əˈlɪt.ɪks/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, utility /juːˈtɪlɪti/

Những âm người Việt thường gặp khó:

Cụm phụ âm cuối — đọc đủ từng âm, đừng nuốt âm cuối: select /sɪˈlɛkt/, import /ˈɪm.pɔɹt/, invest /ɪnˈvɛst/, interact /ɪn.təˈɹækt/, analytics /ˌæn.əˈlɪt.ɪks/
Âm /tʃ/, /dʒ/ và /ʒ/ — tiếng Việt không có, đừng đọc thành “ch” hay “gi”: virtual /ˈvɜɹt͡ʃuəl/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, junk /d͡ʒʌŋk/, messenger /ˈmɛs.ən.d͡ʒɚ/, chatbot /ˈtʃætbɑt/
Âm /æ/ — mở miệng rộng hơn âm “e”: manual /ˈmæn.j(u)əl/, interaction /ˌɪn.təˈɹæk.ʃən/, interact /ɪn.təˈɹækt/, analytics /ˌæn.əˈlɪt.ɪks/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/

Cách luyện với video này

Nghe hết video một lần, chưa cần nói, và ghi lại những từ bạn chưa biết.
Nói đuổi từng câu ở tốc độ bình thường, lặp lại mỗi câu đến khi nhịp của bạn khớp với người nói.
Ghi âm giọng mình rồi so với bản gốc, chú ý các từ như select, cloud, import.

Phương Pháp Shadowing Là Gì?

Shadowing là kỹ thuật học ngôn ngữ có cơ sở khoa học, ban đầu được phát triển cho chương trình đào tạo phiên dịch viên chuyên nghiệp và được phổ biến rộng rãi bởi nhà đa ngôn ngữ học Dr. Alexander Arguelles. Nguyên lý cốt lõi đơn giản nhưng cực kỳ hiệu quả: bạn nghe tiếng Anh của người bản xứ và lặp lại to ngay lập tức — như một "cái bóng" (shadow) đuổi theo người nói với độ trễ chỉ 1–2 giây. Khác với luyện ngữ pháp hay học từ vựng bị động, Shadowing buộc não bộ và cơ miệng phải đồng thời xử lý và tái tạo ngôn ngữ thực tế. Các nghiên cứu khoa học xác nhận phương pháp này cải thiện đáng kể phát âm, ngữ điệu, nhịp điệu, nối âm, kỹ năng nghe và độ lưu loát khi nói — đặc biệt hiệu quả cho người luyện IELTS Speaking và muốn giao tiếp tiếng Anh tự nhiên như người bản ngữ.

Phương pháp shadowing: đọc hướng dẫn từng bước đầy đủ →

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