Hi guys.
Welcome to this session.
So in this session we'll talk about the retrieval augmented generation rag key to custom business chatbot.
So these are going to be chatbots which are empowered with AI.
So usually when we are using a basic chatbot to communicate with our customers, a lot of times the
answers which we are providing might not be consistent.
And there's a lot of manual time and effort involved in responding, communicating with our customers.
So in such a case, you can replace it with with an AI powered chatbot, which can help you in this
such in this particular scenario.
So how it works is the Rag specifically retrieves data.
So what we do here is we upload the AI with completely all our information, specifically uh, resource
materials, files, documents.
Everything about our business is uploaded over here.
It's like a chat, like custom GPT.
And now the AI responds to our customers by going through all this information, which we have uploaded.
So ideally it it will going to look at.
So we are going to generate build a knowledge base.
So what it does is it goes ahead and converts the FAQs, manuals, documents into a searchable database.
So your whole documents which you have provided.
Becomes like a database which is searchable in nature.
And now the AI can scan through it to find out the right answer for the customer.
It allows chatbots to access the relevant information.
Also, it will matches the user's questions with the best content which is available in the database.
It is going to also look at blending retrieved information with AI's conversational skills for accurate
responses.
So how does it matter is because it.
This specifically ensures accuracy because now the answers it reduces AI hallucinations.
The answers are not inconsistent anymore.
These are delivered.
Deliveries delivers.
Consistent fact based answers are given to our customers.
Now you can also scale this further.
It can handle thousands of pages.
So if the if you upload huge amount of files documents, the AI is capable of scanning all those and
give very effective answers to our customers.
It can also optimize the chatbot design if data belongs, belongs in the knowledge base or in instructions,
and it empowers you to troubleshoot much more in an effective manner.
So let's see this in action how this would be happening.
So we'll make use of let's say the previous custom GPT which we had created for Google Ads optimization.
So if you see currently in this if we edit this GPT, this does not have any particular file which we
have provided.
So now currently what we are going to do is we are going to give it a prompt of how I can improve my
quality score in Google Ads.
Okay.
And with this, without any information, any files, any documents given, we'll see how the chatbot
responds.
So it's going to give us the information over here.
It's going to answer the query.
Okay.
So we'll get all the information out here.
As you can see it's providing all the information here.
After this what we are going to do is we are going to provide it a file, a document which contains
that specific answer.
And then we'll again test the tool with the same query.
So right now as you can see it has given us the answer.
And let's say this is the document which we ideally want to upload as one of the files which we give
to the custom GPT.
So we're going to give this and we're going to upload it over here.
So now we have uploaded this.
It's getting uploaded over here.
Once it is uploaded we can update it.
And now we can view the GPT.
Okay.
And now we can give the prompt once again.
So if you see we have this question in this FAQ right now which is how can I improve my quality score
in Google Ads.
So these are the this is the answer given called score is influenced by ad relevance landing page expected
CTR.
To improve it, you can use highly relevant keywords optimize ad copy, ensure fast loading, increase
CTR.
So this is the ideal response which we are looking for.
So we are going to give the same question.
Which is giving us the answer.
So now you can see it is picking up similar information.
AD relevance.
We talked about ad relevance landing page experience, create fast loading.
We had talked about that over here as well.
Fast loading expected CTR okay.
Additional tips to improve okay.
So now it's going to pick up the answer from the document which we have given.
And it's more aligned to that document's answer.
And that is what is being communicated to our customers.
So this is how you can build your own personal business chatbots by empowering them with AI, by giving
all your company documents, files to it in the custom GPT, and then let it do the job of scanning
through all those documents and answering your customer queries.