Okay, so let's review a briefly.
These are these professional application that we have seen in the previous videos.
We are going to make a deep dive into this application at the end of this block.
But in this moment, I think it could be interesting for us to.
Remember a few of the elements that are professional application has.
So.
Second sight is a real end to end.
Professional application in some other courses or blog posts or YouTube videos, you see people referring
to demos, toy demos, or toy user interfaces, uh, applications, uh, as end to end, uh applications.
They are not.
This is a real end to end professional application.
As you remember, the llama index team has open source.
Uh, the project checking sites.
And right now, this is one of the most advanced and sophisticated production ready LM apps available.
Because of that, it is worthy to study it in detail.
And we are going to do this in a several steps.
Remember that a we have access to the code of this project, and we will go in detail at the end of
this blog to this, to this code.
We also have a YouTube video a a recorded by the Long Chain team is a good video, but in my opinion
is too short and a.
The problem with this video is that they do not walk step by step.
Uh, in the project, uh, with with us.
So it's just a like a high a view, high level view of the project and the different features.
But they are not a, a explaining in detail the steps they have follow to, to build the, the project.
So it's an interesting document in some cases is not accurate.
They have a more accurate documentation here in the GitHub repository.
But it can be an interesting video a in the future to to to watch.
Not right now.
Just wait until we go to the more basic and medium level applications in this section.
Remember that The Second Sight's professional project is a chat application that uses the rack technique
to answer questions about a high level financial documents.
Uh, companies that are a that are in the stock exchange.
So it is a production ready, a project, uh, it uses a full stack repo and is ready for you to fork.
Uh, you will see that a.
We have interesting features where you have the URL to see the working app live, and you will see that
this working app has interesting features like a PDF viewer or for example, the citation of source
data.
This is very interesting because this is is trying to solve the the one of the big problems of the LLM
applications, which is is this information trustworthy.
So they are they are providing the sources of every uh, every answer the the application provides.
Remember that this, uh, this is the, the graph that the llama index team provides about the architecture
of this application.
So, uh, probably you remember that this is an application that has fast API and Postgres in the back
end, and Next.js and Vercel, uh, in the front end.
So render is the back end server.
Vercel is the front end server server.
And then we have a Amazon Web Services S3 to storage, uh, the PDF documents.
And we have a number of external APIs.
Uh, apart of, of OpenAI, we have different uh, financial APIs that are being used in this, uh,
project.
So we will see in detail the different parts and the mechanics of this application as far as we can
understand and identify them.
Okay, so this is.
Some of the things we will see in the last part of this blog.
As you see, you are going to have these slides with this, uh, initial presentation about the project.
You are going to have this notebook in the right with very detailed, uh, data about this presentation.
And the same thing with the second presentation you are going to have.
This is like a also like a high level, uh, you know, uh, view of the application.
And you see that we are highlighting here the most important components and then the secondary ones,
etc., etc..
And you have also a second, a notebook with a lot of data just to start, uh, you know, uh, preparing,
uh, for what is coming in this blog.
So the purpose of this initial introduction is not, uh, going into the second side project jet is
just to announce what professional applications have, uh, in order for you to, to to get ready for
this, uh, this very important step.
We are, uh, taking in this in this blog, we are going from the toy demos to the professional application.
So let's start with the most basic example of a level three applications.
We are going to see that in the next lesson.