跟读练习: How to Build AI ChatBot with Custom Knowledge Base in 10 mins - 通过视频学习英语口语
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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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highly appreciated stay tuned for exciting new videos to ensure you don't miss out please subscribe
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本课的词汇与口语要点
这节口语课以视频“How to Build AI ChatBot with Custom Knowledge Base in 10 mins”为素材。 视频中反复出现的词有：click, agent, document, website, chatbot。 这段视频共有 124 个句子、1542 个单词可供跟读。 讲话部分时长为 10:45。 说话人语速平稳，每分钟约 143 个词，很适合跟读。 82% 的单词属于英语最常用的 3,000 词，其余的词建议在练习前先学一下。
视频中的重点词汇
视频中 15 个值得学习的单词，附发音和释义：
| 单词 | 发音 | 释义 |
|---|---|---|
| select 动词 | /sɪˈlɛkt/ | 選 /选, 挑選 /挑选 |
| cloud 名词 | /ˈklaʊ̯d/ | йүн, 雲 /云 |
| import 名词 | /ˈɪm.pɔɹt/ | 進口貨 /进口货, 舶來品 /舶来品 |
| invest 动词 | /ɪnˈvɛst/ | 耗費 /耗费, 投資 /投资 |
| manual 名词 | /ˈmæn.j(u)əl/ | 手冊 /手册 |
| interaction 名词 | /ˌɪn.təˈɹæk.ʃən/ | 相互作用 |
| upload 动词 | /ˈʌpˌloʊd/ | 上載 /上载, 上傳 /上传 |
| icon 名词 | /ˈaɪ.kɑn/ | 聖像 /圣像 |
| bucket 名词 | /ˈbʌkɪt/ | 水桶, 吊桶 |
| interact 动词 | /ɪn.təˈɹækt/ | 互動 /互动 |
| visitor 名词 | /ˈvɪzɪtɚ/ | 訪客 /访客, 客人 |
| prescription 名词 | /pɹəˈskɹɪp.ʃən/ | 藥方 /药方, 處方 /处方 |
| analytics 名词 | /ˌæn.əˈlɪt.ɪks/ | 分析學 /分析学 |
| everyday 形容词 | /ˈɛvɹiˌdeɪ/ | 日常的 |
| custom 名词 | /ˈkʌstəm/ | 習慣 /习惯, 習俗 /习俗 |
视频中出现的短语动词
| 单词 | 释义 |
|---|---|
| check out 动词 | 退房 |
| go through 动词 | 通過 /通过 |
| miss out 动词 | 錯過 /错过, 放過 /放过 |
视频中的语法
说话人最常用的结构，并附上视频中的原话：
| 结构 | 视频中的用法 |
|---|---|
| 条件句 if + 从句，will/would + 动词 — 条件及其结果 | If they're not enabled, you'll get |
| 现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事 | I've already uploaded · has been created · has been imported |
| 被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的 | are enabled · has been created · has been imported |
需要注意的发音
说话人用了 25 次缩略和弱读形式，例如 we'll, you'll, I'll。请按听到的简短形式来说。
- “th” 音: algorithm /ˈælɡəɹɪðm̩/, thumb /ˈθʌm/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/
- “sh” 和 “zh” 音: interaction /ˌɪn.təˈɹæk.ʃən/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, prescription /pɹəˈskɹɪp.ʃən/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, integration /ˌɪn.tɪˈɡɹeɪ.ʃən/
- 长单词——注意重音位置: interaction /ˌɪn.təˈɹæk.ʃən/, successfully /səkˈsɛs.fə.li/, analytics /ˌæn.əˈlɪt.ɪks/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, utility /juːˈtɪlɪti/
中文母语者容易读错的音：
- /v/ — 不要读成 /w/，上齿轻触下唇: invest /ɪnˈvɛst/, virtual /ˈvɜɹt͡ʃuəl/, visitor /ˈvɪzɪtɚ/, preview /ˈpɹiːvjuː/, everyday /ˈɛvɹiˌdeɪ/
- 词尾辅音 — 要读清楚，后面不要加元音: select /sɪˈlɛkt/, cloud /ˈklaʊ̯d/, import /ˈɪm.pɔɹt/, invest /ɪnˈvɛst/, upload /ˈʌpˌloʊd/
- /r/ 和 /l/ 的区别: virtual /ˈvɜɹt͡ʃuəl/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, algorithm /ˈælɡəɹɪðm̩/, behavioral /bɪˈheɪvjəɹəl/, tutorial /ˌtjuːˈtɔːɹɪəl/
如何用这段视频练习
- 先完整听一遍视频，不要开口，记下不认识的单词。
- 用正常速度逐句跟读，每句重复到你的节奏与说话人一致为止。
- 录下自己的声音并与原声对比，特别注意 select, cloud, import 这类单词。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。