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Hello guys.

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So we are going to continue the lecture series.

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And in this video we will go ahead and set up our entire environment for Lange chain so that we will

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be able to start the coding.

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Uh, and we'll be seeing multiple applications how to build generative AI applications.

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Now, uh, what I have actually planned is that I will probably create just one folder.

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Okay.

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So let's go ahead and see this.

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This will be one folder.

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My entire projects will be probably created over here.

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And let's say, uh, the end to end projects that I specifically create, I will probably create a different

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project folder for them.

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Okay.

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So go to any folder in any of your drive.

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And from this let's go ahead and right click over here and you'll get an option of open with code right.

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So here once you do or once you click this with open with code, you'll be able to see that I'll be

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having the VS code.

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This is one way how you can actually do it.

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The other way is that I will just go ahead and copy this path.

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Open my command prompt.

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Okay.

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If you have installed Anaconda and VSCode, so I will just go to this particular command, this particular

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path.

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So I will just go ahead and write CD this and I'll go to my E drive.

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So here you can see that I'm actually I'm, I'm in that same path which I am planning to create my code,

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uh, project itself.

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So here I will just go ahead and write code dot and automatically my VSCode will open.

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So these are two different ways how you can probably start your VS code.

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Okay, so I've done this and now my entire coding will specifically be happening over here.

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Uh let me do one thing.

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Uh, let me just make this as a full screen.

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Now let us go ahead and first of all, create one virtual environment, since in Lang chain this, all

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the things that we are going to probably discuss, it will be related to Lang Chain.

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So it is always necessary that you create your own virtual environment.

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And with respect to that specific virtual environment, we will try to do all the installations and

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we'll try to probably see what all packages will be required and many more things.

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Now, uh, since, uh, I don't know, like how many of you are familiar with working with VS code or

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not, but VS code, I feel is an amazing IDE wherein you'll be able to create projects, you'll be able

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to work with Jupyter Notebook and many more things.

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So here, uh, what I'm actually going to do, first of all, uh, here you can see that first of all,

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you need to go ahead and open your terminal.

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Right.

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So in this terminal we will go ahead and create our, uh, virtual environment.

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Now one way is that I can directly go over here, click on the terminal and click on New Terminal.

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So this is one way, but, uh, my entire session I will try to use some shortcuts in VS code.

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I just will press control back symbol okay.

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So control plus back symbol.

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And automatically I'll be able to see that okay.

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This is my terminal over here okay.

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So you can also go ahead and probably, um, just open this terminal by using shortcut so that you'll

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be much more efficient while working on the project itself.

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Now here you have multiple options like PowerShell get bash command prompt, JavaScript debug terminal.

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So whatever thing you really want to go ahead with, you can go ahead again in Mac.

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You'll be having uh, another uh, terminal itself.

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So you can probably check with respect to the kind of system that you have.

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But here I'm just going to go ahead and open command terminal.

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Okay.

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So this will basically be my command terminal.

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Now I am going to as I said, I'm going to probably go ahead and create my own virtual environment.

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So first of all, what I'm actually going to do I'll just go ahead and write conda create minus p v

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and v will be my virtual environment.

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I will just go ahead and use my Python version 3.10 uh, 3.10 I'm using because, uh, the most of the

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stable libraries that are there, I think it is compatible to Python 3.10, and I think it is also 3.11

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in 3 .12.

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They are still a lot of developments that are specifically happening.

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New things are coming.

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So once that actually becomes stable you can also work with that.

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So I'm just going to go ahead with Python double equal to 3.10.

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And here along with this I will also say by default y so that what are the default installation that

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is going to probably take place with respect to this particular virtual environment that is going to

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happen.

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So this virtual environment in this, I will probably go ahead and do all the installation that I really

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want to work with the long chain.

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Okay.

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So here you can see this entire uh folder and packages will get installed.

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And this is my v env environment.

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And you can see slowly everything is basically getting installed.

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So till this is getting installed, I will just go ahead and go ahead and create my requirements dot

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txt requirements dot txt okay now inside this requirement dot txt.

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Now you can see that my environment has got created.

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So here I'm just going to use one library that is called as Lang Chin.

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Yeah.

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I'm also going to install different different libraries in Lang Chin.

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Also uh you'll be seeing like Lang Chin underscore community and all will understand why it is basically

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used.

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And then we will go ahead and do the installation.

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So right now I just required Langton to show you that how you can probably go ahead with the installation

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in this requirement.

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Dot txt now once my virtual environment is created.

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So here you can see this is my V and V folder.

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I will go ahead and activate this particular environment.

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So let's go ahead and activate this.

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So here I'm going to write conda activate v and v.

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And here is my virtual environment okay.

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Now already my packages have been, uh, I've written that in the long chain itself.

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So let me quickly go ahead and clear my screen and let me just go ahead and write pip install minus

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our requirement dot txt.

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So here you'll be able to see okay install I have written double s.

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So let me just go ahead and do the requirement dot txt installation.

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So automatically you'll be able to see lang chain lang chain core.

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All these installation will automatically happen.

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Okay.

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Uh, so once this installation basically happens, we are good to start our long chain project.

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So and even we'll be starting multiple modules in long chain where we'll be discussing step by step

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and how you can specifically use it.

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Uh, along with long chain.

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I would also like to probably install one more package, which I have already discussed in my Python

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module, which is nothing but Ipykernel.

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Now Ipykernel is something which we are going to use it only to make sure that we will be able to create

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a select a kernel for our Jupyter notebook file.

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Initially, all the topics that we are going to learn will be mostly through Jupyter Notebook.

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But later on, once we get our fundamental or basics clear, we will also be developing end to end projects.

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So yes, this was all the steps that we really need to do in order to create our virtual environment.

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Now I will just go ahead and probably create my first module.

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Whatever things I really want to do develop over here with respect to long chain.

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And inside this, let's say I want to go ahead and probably work with Ipynb file.

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So I will just go ahead and create one file and I'll start my work, which I am going to probably show

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you in the next video.

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Right?

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So yes, this was it from my side.

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Uh, in this particular video, I've shown you how you can actually go ahead and create a virtual environment.

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Along with that.

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What?

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All requirements.txt.

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I just used one packages and as we go ahead we will be using multiple packages.

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And after that we'll also go ahead with the installation.

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Uh, I have also created the entire, uh, you know, the virtual environment by just using conda create

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minus p v and v Python with 3.10.

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And I've just used dash y so that whatever is the default installation that will happen.

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So yes this was it for my side.

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I hope you like this particular video.

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I will see you all in the next video.

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Thank you.