How to Build AI ChatBot with Custom Knowledge Base in 10 mins

[00:00] what if you could turn your website in

[00:01] all of those PDF documents manuals

[00:04] guides uh ebooks and reports into a

[00:07] helpful chatbot imagine asking questions

[00:10] and getting instant answers directly

[00:12] from your website your documents or any

[00:15] ebook will guess what I found a way to

[00:17] do this in less than 10 minutes in this

[00:20] video I'll show you how easy it is to

[00:23] build your own AI chatbot with custom

[00:25] knowledge base without any coding skills

[00:28] you can do this for your business or

[00:30] other businesses and start making money

[00:33] by the end of this tutorial video not

[00:34] only you'll be able to create a chatbot

[00:37] and train your AI based on your own data

[00:40] using PDF HTML txt CSV Word documents

[00:45] and PowerPoint presentation files but

[00:47] also integrate the chatbot into your

[00:49] website Facebook Messenger Flack Discord

[00:53] or Telegram in this video you learn how

[00:55] to create a data story agent how to add

[00:57] add structure data to your data agent

[01:00] data store how to enable voice and chat

[01:03] experiences for your agent how to test

[01:05] agent and simulate customer questions

[01:07] how to V conversation history and

[01:09] analytics for your agent all of that in

[01:12] about 10 minutes without any further Ado

[01:15] let's get

[01:20] [Music]

[01:24] started all right so before we start let

[01:27] me show you the document that we'll be

[01:29] using thing as the data source this is

[01:32] budget of the US government and it's 188

[01:35] pages long so to get started we'll go to

[01:37] cloud.google.com

[01:38] uh log in with your account and click on

[01:42] console from the console click search

[01:45] for agent

[01:48] Builder click on agent Builder before

[01:52] creating a new app make sure that the

[01:54] vertex AI API and the dialog flow apis

[01:57] are enabled if they're not enabled get a

[02:00] prompt and then you can enable it on the

[02:04] screen select

[02:06] chat and provide the company

[02:10] name provide the agent

[02:18] name click

[02:21] continue we'll create a data store this

[02:24] is where we can create a data store

[02:26] click on create data store you get three

[02:29] options

[02:30] here you can provide a website URL and

[02:33] it will automatically crawl website

[02:35] content from a list of domains that you

[02:36] defined you can provide the data from

[02:40] your storage bucket or you can import

[02:42] data manually by calling the

[02:44] API I'll select the cloud storage and um

[02:49] you can import a folder or you can

[02:50] import a file I'll select file and head

[02:54] browse I created this bucket earlier

[02:57] where I uploaded that PDF document that

[03:00] I showed you uh I've already uploaded

[03:02] uploaded it um but for your case you can

[03:05] upload any document to your uh cloud

[03:08] storage and you'll be able to select it

[03:10] from here click

[03:12] select so PDF html text files CSV Word

[03:17] document and presentation files fall

[03:19] under the unstructured documents now you

[03:21] can use that as the data source or you

[03:24] can use Json L for unstructured

[03:26] documents with metadata information and

[03:28] click on this link for more information

[03:30] or you can use CSV file for structured

[03:33] um frequently Asked data this is only

[03:35] for chat but for our example we're going

[03:38] to be using the unstructured document

[03:40] click on continue I'm going to name the

[03:43] data store us um budget 2025 25 and

[03:50] click on create it's going to create the

[03:52] data store okay so it created a data

[03:54] store I will select the data store and

[03:57] click on create

[04:11] okay so the data store has been created

[04:12] over here I can click on over um on this

[04:16] link uh to see more

[04:19] information um on this screen I can see

[04:22] the

[04:25] activity and I need to make sure that

[04:27] data has been imported successfully with

[04:29] without any

[04:32] errors and we are using the digital

[04:34] parser now we can hit um preview to see

[04:39] the

[04:45] preview uh now we will test our agent uh

[04:48] testing is an important part of working

[04:49] with conversational agents to find box

[04:51] identify limitations and simulate a

[04:53] customer experience you can start an

[04:55] interactive session with your chat bot

[04:56] to see how it responds to various

[04:57] questions that a customer might ask

[04:59] click on the test agent Link at the top

[05:02] right hand

[05:03] corner um this is where we can uh test

[05:06] the chat bot we can write

[05:10] hello and we have more control over

[05:13] customizing the response of the agent

[05:15] from this screen um we can enable

[05:19] logging um by going here and checking

[05:23] this enable conversational history by

[05:25] checking this box uh we will get the

[05:27] conversation history uh let's suppose we

[05:30] put this on our website and people

[05:33] interact with our chatbot and if you

[05:35] want to be able to see those

[05:36] interactions you need to check this box

[05:39] and hit save we click on manage click on

[05:42] integration let me show you a very cool

[05:44] thing uh you can add a phone gateway to

[05:46] your Bot which will make use of speech

[05:48] to text and text to speech capabilities

[05:50] in the Google Cloud you can head on this

[05:53] manage uh button to enable that feature

[05:57] but for now I'm happy with the text

[06:00] uh chatbot and text based I can click on

[06:04] connect we can enable this

[06:06] unauthenticated API which means that

[06:07] will allow people without authentication

[06:10] to interact with the chat bot and I'll

[06:13] click on enable an authenticated API

[06:16] this is the code that you can use to put

[06:18] on your website and you'll get the

[06:21] chatbot on your website so to see how it

[06:25] would look like click on try it now and

[06:27] you get this um you get this icon at the

[06:30] bottom uh right hand corner so you click

[06:33] on this and this is the chat box that

[06:36] you you can put on your website what are

[06:41] president's top

[06:43] priorities for year

[06:49] 2025 the chatbot read the document and

[06:53] responded with present stop economic

[06:55] prorities lowering cost for American

[06:56] families the administration is working

[06:58] to bring down the uh prescription drug

[07:00] cost health insurance premiums utility

[07:02] bills cost for everyday Goods all while

[07:04] taking on junk fee studs some Airlines

[07:07] Banks and other companies use to rip off

[07:09] Americans and also it's grounded the

[07:12] data and if I click on this link it will

[07:14] show me exactly where it found that

[07:16] information from and as you can see it's

[07:19] on page nine and this is where the

[07:21] chatbot found that information is

[07:24] lowering cost for hardworking Americans

[07:26] the administration is working to bring

[07:27] down prescription dve cost health

[07:29] Assurance we're we are grounding it with

[07:31] our own data source so let me ask it

[07:34] another question let me ask what has

[07:38] president invested

[07:50] in the president has invested in America

[07:53] and American people by signing into law

[07:56] historic legislation such as the

[07:58] American Rescue plan the bipartisan

[08:01] infrastructure law the chips uh and

[08:03] science Act and the inflation reduction

[08:05] act let me ask it another question like

[08:08] um what are some of the

[08:12] accomplishment of the Biden

[08:19] Administration the bid Administration

[08:21] has made historic Investments and mental

[08:23] healthc care including nearly 1 billion

[08:25] to support the 988 suicide and crisis

[08:28] Lifeline the administration is also

[08:29] committed to investing in training more

[08:31] mental health professionals in his

[08:33] expanded certified community behavioral

[08:35] health clinics Nationwide when testing

[08:37] your virtual agent if you find that your

[08:40] bot's answers do not meet your

[08:41] expectations you can always add more

[08:44] URLs to the data source to improve how

[08:46] your Bot handles questions and answers

[08:48] you can add more URLs it can add more

[08:51] documents um other than testing many

[08:53] different paths the customer might make

[08:55] how else can you determine where the

[08:57] problem in friction points or in your

[08:59] version ual agent conversation history

[09:01] in analytics help uh so we enabled I

[09:05] showed you where you can enable that uh

[09:07] conversation history under the agents I

[09:10] already enabled that and to get to that

[09:12] conversation history you can click on

[09:14] conversation history and this is where

[09:16] you're going to see the conversation

[09:17] history and I can click on any of these

[09:20] uh and it will show me uh my interaction

[09:24] with uh the chat bot I've asked it's

[09:28] going to show the history of my

[09:29] conversation and once you put that on

[09:31] your website and you would be able to

[09:33] see the interaction of your chat bot

[09:35] with your visitors website visitors

[09:37] congratulations using the verx AI

[09:39] conversation in dialog flow CX you have

[09:42] successfully created a data store agent

[09:44] your virtual agent can answer hundreds

[09:46] of different questions about your

[09:48] website or any document PDF manual

[09:52] guides ebooks and reports at sector that

[09:54] you may have you don't have to go

[09:56] through the manual process of creating a

[09:58] large number of intense training phrases

[10:01] response messages we literally created

[10:03] this in less than 10 minutes this video

[10:06] was requested in the comment section by

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