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Okay, so let's review a briefly.

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These are these professional application that we have seen in the previous videos.

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We are going to make a deep dive into this application at the end of this block.

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But in this moment, I think it could be interesting for us to.

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Remember a few of the elements that are professional application has.

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So.

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Second sight is a real end to end.

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Professional application in some other courses or blog posts or YouTube videos, you see people referring

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to demos, toy demos, or toy user interfaces, uh, applications, uh, as end to end, uh applications.

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They are not.

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This is a real end to end professional application.

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As you remember, the llama index team has open source.

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Uh, the project checking sites.

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And right now, this is one of the most advanced and sophisticated production ready LM apps available.

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Because of that, it is worthy to study it in detail.

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And we are going to do this in a several steps.

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Remember that a we have access to the code of this project, and we will go in detail at the end of

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this blog to this, to this code.

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We also have a YouTube video a a recorded by the Long Chain team is a good video, but in my opinion

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is too short and a.

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The problem with this video is that they do not walk step by step.

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Uh, in the project, uh, with with us.

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So it's just a like a high a view, high level view of the project and the different features.

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But they are not a, a explaining in detail the steps they have follow to, to build the, the project.

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So it's an interesting document in some cases is not accurate.

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They have a more accurate documentation here in the GitHub repository.

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But it can be an interesting video a in the future to to to watch.

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Not right now.

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Just wait until we go to the more basic and medium level applications in this section.

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Remember that The Second Sight's professional project is a chat application that uses the rack technique

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to answer questions about a high level financial documents.

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Uh, companies that are a that are in the stock exchange.

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So it is a production ready, a project, uh, it uses a full stack repo and is ready for you to fork.

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Uh, you will see that a.

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We have interesting features where you have the URL to see the working app live, and you will see that

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this working app has interesting features like a PDF viewer or for example, the citation of source

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data.

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This is very interesting because this is is trying to solve the the one of the big problems of the LLM

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applications, which is is this information trustworthy.

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So they are they are providing the sources of every uh, every answer the the application provides.

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Remember that this, uh, this is the, the graph that the llama index team provides about the architecture

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of this application.

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So, uh, probably you remember that this is an application that has fast API and Postgres in the back

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end, and Next.js and Vercel, uh, in the front end.

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So render is the back end server.

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Vercel is the front end server server.

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And then we have a Amazon Web Services S3 to storage, uh, the PDF documents.

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And we have a number of external APIs.

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Uh, apart of, of OpenAI, we have different uh, financial APIs that are being used in this, uh,

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project.

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So we will see in detail the different parts and the mechanics of this application as far as we can

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understand and identify them.

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Okay, so this is.

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Some of the things we will see in the last part of this blog.

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As you see, you are going to have these slides with this, uh, initial presentation about the project.

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You are going to have this notebook in the right with very detailed, uh, data about this presentation.

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And the same thing with the second presentation you are going to have.

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This is like a also like a high level, uh, you know, uh, view of the application.

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And you see that we are highlighting here the most important components and then the secondary ones,

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etc., etc..

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And you have also a second, a notebook with a lot of data just to start, uh, you know, uh, preparing,

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uh, for what is coming in this blog.

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So the purpose of this initial introduction is not, uh, going into the second side project jet is

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just to announce what professional applications have, uh, in order for you to, to to get ready for

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this, uh, this very important step.

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We are, uh, taking in this in this blog, we are going from the toy demos to the professional application.

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So let's start with the most basic example of a level three applications.

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We are going to see that in the next lesson.