Shadowing Practice: How to Build AI ChatBot with Custom Knowledge Base in 10 mins - Learn English Speaking with Video
Ders oluşturuluyor...
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what if you could turn your website
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and all of those pdf documents manuals guides ebooks
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and reports into a helpful chatbot imagine asking questions
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and getting instant answers directly from your website your documents
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or any ebook well guess what i found a way to
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do this in less than 10 minutes in this video i'll
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show you how easy it is to build your own ai
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chatbot with custom knowledge base without any coding skills you can do this for your business
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or other businesses
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and start making money by the end of this tutorial video
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not only you'll be able to create a chat bot
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and train your ai based on your own data using pdf html txt csv word documents
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and powerpoint presentation files but also integrate the chatbot into your website facebook messenger Slack, Discord, or Telegram.
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In this video, you'll learn how to create a data store agent, how to add unstructured data to your agent's data store,
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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,
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all of that in about 10 minutes.
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Without any further ado, Let's get started.
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Alright, so before we start, let me show you the document that we'll be using as the data source.
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This is budget of the US government and it's 188 pages long.
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So to get started, we'll go to cloud .gibble .com and log in with your account and click on console.
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So, from the console, click Search for Agent Builder.
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Click on Agent Builder.
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Before creating a new app, make sure that the Vertex AI API and the Dialogflow APIs are enabled.
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If they're not enabled, you'll get a prompt and then you can enable it on the screen.
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Select Chat and provide the company name.
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Provide the agent name
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Click continue
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We'll create a datastore This is where we can create a datastore Click on create datastore
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You get three options here You can provide a website URL
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And it will automatically crawl website content From a list of domains
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that you defined You can provide the data from your storage bucket, or you can import data manually by calling the API.
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I'll select the cloud storage, and you can import a folder or you can import a file.
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I'll select File and hit Browse.
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I created this bucket earlier where I uploaded that PDF document that I showed you.
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I've already uploaded it.
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But for your case, you can upload any document to your cloud storage, and you'll be able to select it from here.
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Click Select.
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So PDF, HTML, text files, CSV, Word document, and presentation files fall under the unstructured documents.
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Now, you can use that as the data source, or you can use JSON -L for unstructured documents with metadata information.
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You can click on this link for more information, or you can use CSV file for structured frequently asked data.
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This is only for chat.
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But for our example, we're going to be using the unstructured document.
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Click on continue.
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I'm going to name the data store US budget 2025 -25 and click on create.
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It's going to create a data store.
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Okay, so it created a data store.
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I will select the data store and click on create.
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okay
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so the data store has been created over here I can
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click on over on this link to see more information on this screen I can see the activity
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and I need to make sure that data has been imported successfully without any errors.
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And we are using the digital parser.
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Now we can hit preview to see the preview.
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Now we'll test our agent.
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Testing is an important part of working with conversational agents to find the bugs, identify limitations and simulate a customer experience.
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You can start an interactive session with your chatbot
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So to see how it responds to various questions that a customer might ask, click on the test agent.
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Link at the top right -hand corner.
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This is where we can test the chatbot.
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We can write hello.
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And we have more control over estimating the response of the agent from the screen.
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We can enable logging by going here and checking this enable conversational history.
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By checking this box, we will get the conversation history.
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Let's suppose we put this on our website and people interact with our chatbot.
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And if you want to be able to see those interactions, you need to check this box and hit save.
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We'll click on manage, click on integration.
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Let me show you a very cool thing.
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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.
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You can hit on this manage button to enable that feature
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but for now I'm happy with the text chatbot
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and text based I can click on connect we can enable this unauthenticated API
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which means that will allow people without authentication to interact with the chatbot
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and I'll click on enable unauthenticated API this is the code
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that you can use to put on your website
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and you'll get the chatbot on your website
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so to see how it would look like click on try it now
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and you get this um you get this icon at the bottom uh right hand corner
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so you click on this and this is the chat box
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that you you can put on your website what are president's top three hour credits for year 2025 Bye.
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The chatbot read the document and responded with prison -stopped economic parodies, lowering costs for American families.
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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,
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banks, and other companies used to rip off Americans it also is grounded the data
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and if i click on this link it will show me exactly where it found
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that information from and as you can see it's on page nine
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and this is where the chatbot found
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that information is lowering costs for hardworking americans the administration is
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working to bring down prescription drug costs health insurance we are grounding it with our own data source
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So let me ask it another question.
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Let me ask, what has the president invested in?
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The president has invested in America and the American people by signing into law historic legislation, such as the American Rescue Plan,
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the Bipartisan Infrastructure Law, the CHIPS, the Science Act, and the Inflation Reduction Act.
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Let me ask you another question like,
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what are some of the accomplishments of the Biden administration?
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The Biden administration has made historic investments in mental health care, including nearly $1 billion to support the 988 Suicide and Crisis Lifeline.
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The administration is also committed to investing in training more mental health professionals and has expanded certified community behavioral health clinics nationwide.
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When testing your virtual agent, if you find that your bot's answers do not meet your expectations,
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you can always add more URLs to the data source to improve how your bot handles questions and answers.
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You can add more URLs, you can add more documents.
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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?
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Conversation history and analytics help.
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So we enabled, I showed you where you can enable that conversation history under the agents.
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I already enabled that.
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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.
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And I can click on any of these
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and it will show me my interaction with the chat bot
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I've asked it's going to show the history of my conversation
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and once you put that on your website
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and you would be able to see the interaction of your
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chat bot with your visitors website visitors congratulations using the verdicts
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ai conversation in dialogue flow cx you have successfully created a
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data store agent your virtual agent can answer hundreds of different questions about your website or
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any document pdf manual guides ebooks and reports etc
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that you may have you don't have to go through the
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manual process of creating a large number of intense training phrases response messages.
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We literally created this in less than 10 minutes.
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this video was requested in the comment section by a few of my subscribers i read all of the comments
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and i'd love to hear your thoughts feel free to share your ideas for upcoming videos
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if you don't have any questions
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or feedback you can support my work by just typing coding
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money in the comment section it really helps with the youtube algorithms
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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
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Bu dersin kelimeleri ve konuşma notları
Bu konuşma dersi “How to Build AI ChatBot with Custom Knowledge Base in 10 mins” videosuna dayanıyor. En çok tekrarlanan kelimeler: click, agent, document, website, chatbot. Bu videoda gölgeleme çalışması için 124 cümle ve 1542 kelime var. Konuşma bölümü 10:45 sürüyor. Konuşmacı dakikada yaklaşık 143 kelimelik dengeli bir hızla konuşuyor; gölgeleme için rahat bir tempo. Kelimelerin %82’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.
Bu videodaki önemli kelimeler
Videodan öğrenmeye değer 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| cloud isim | /ˈklaʊ̯d/ | bulut |
| import isim | /ˈɪm.pɔɹt/ | ithal |
| virtual sıfat | /ˈvɜɹt͡ʃuəl/ | sanal |
| presentation isim | /ˌpɹɛzn̩ˈteɪʃn̩/ | sunma, takdim |
| icon isim | /ˈaɪ.kɑn/ | ikon, ikona |
| bucket isim | /ˈbʌkɪt/ | kova |
| visitor isim | /ˈvɪzɪtɚ/ | konuk, misafir |
| prescription isim | /pɹəˈskɹɪp.ʃən/ | reçete |
| everyday sıfat | /ˈɛvɹiˌdeɪ/ | gündelik |
| custom isim | /ˈkʌstəm/ | adet, görenek |
| skill isim | /skɪl/ | beceri, maharet |
| congratulations | /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/ | tebrikler, tebrik ederim |
| log isim | /lɔɡ/ | kütük |
| instant isim | /ˈɪnstənt/ | an |
| upcoming sıfat | gelecek olan, gelen |
Duyacağınız deyimsel fiiller
| Kelime | Anlam |
|---|---|
| check out fiil | gözden geçirmek |
| miss out fiil | kaçırmak |
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Koşul cümleleri if + cümle, will/would + fiil — bir koşul ve sonucu | If they're not enabled, you'll get |
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | I've already uploaded · has been created · has been imported |
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | are enabled · has been created · has been imported |
Dikkat edilecek telaffuzlar
Konuşmacı we'll, you'll, I'll gibi kısaltılmış biçimleri 25 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “th” sesleri: algorithm /ˈælɡəɹɪðm̩/, thumb /ˈθʌm/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/
- “sh” ve “zh” sesleri: interaction /ˌɪn.təˈɹæk.ʃən/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, prescription /pɹəˈskɹɪp.ʃən/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, integration /ˌɪn.tɪˈɡɹeɪ.ʃən/
- Uzun kelimeler — vurguyu doğru yere koyun: interaction /ˌɪn.təˈɹæk.ʃən/, successfully /səkˈsɛs.fə.li/, analytics /ˌæn.əˈlɪt.ɪks/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, utility /juːˈtɪlɪti/
Türkçe konuşanların zorlandığı sesler:
- /w/ — dudaklar yuvarlak, /v/ değil: nationwide /ˌneɪ.ʃənˈwaɪd/, gateway /ˈɡeɪtˌweɪ/, hardworking /ˈhɑːɹdˌwɜːɹ.kɪŋ/
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: cloud /ˈklaʊ̯d/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, prescription /pɹəˈskɹɪp.ʃən/, preview /ˈpɹiːvjuː/, skill /skɪl/
- /æ/ — “e”den daha açık: manual /ˈmæn.j(u)əl/, interaction /ˌɪn.təˈɹæk.ʃən/, interact /ɪn.təˈɹækt/, analytics /ˌæn.əˈlɪt.ɪks/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- Normal hızda cümle cümle tekrar edin; ritminiz konuşmacıyla aynı olana kadar her cümleyi yineleyin.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; cloud, import, virtual gibi kelimelere özellikle dikkat edin.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.