1 00:00:00,000 --> 00:00:01,000 Hello guys. 2 00:00:01,000 --> 00:00:05,000 So we are going to continue the discussion with respect to graph DB with Lang Chen. 3 00:00:05,000 --> 00:00:09,000 Now uh, we will be implementing some amazing projects. 4 00:00:09,000 --> 00:00:09,000 Again. 5 00:00:09,000 --> 00:00:15,000 We are going to use the Neo4j's aura DB and we'll see that how with the help of Python programming language, 6 00:00:15,000 --> 00:00:21,000 uh, along with Lang Chain, we can specifically use and create some amazing Jen AI applications. 7 00:00:21,000 --> 00:00:26,000 So before we go ahead and start, uh, we need to set up this specific environment. 8 00:00:26,000 --> 00:00:32,000 And again, uh, to set up this particular environment, uh, we have to make sure that we have all 9 00:00:32,000 --> 00:00:34,000 the necessary libraries. 10 00:00:34,000 --> 00:00:38,000 Um, here are the different kind of Python version I will be specifically using. 11 00:00:38,000 --> 00:00:38,000 Okay. 12 00:00:38,000 --> 00:00:41,000 So first of all, let's go ahead and create my environment. 13 00:00:41,000 --> 00:00:43,000 So I will go to my command prompt. 14 00:00:43,000 --> 00:00:51,000 And here what I will be doing is that I will just go ahead and write conda create minus p okay v and 15 00:00:51,000 --> 00:00:55,000 v python double equal to 3.12. 16 00:00:55,000 --> 00:01:00,000 And I'll give a yes um prompt so that it should continue the execution. 17 00:01:00,000 --> 00:01:01,000 Right. 18 00:01:01,000 --> 00:01:07,000 So now here you'll be able to see that in some time my entire V and V environment will get created okay. 19 00:01:07,000 --> 00:01:10,000 So this is basically getting created. 20 00:01:10,000 --> 00:01:12,000 Let it take some time okay. 21 00:01:12,000 --> 00:01:17,000 And since it is getting created I will also go ahead and create my requirements. 22 00:01:17,000 --> 00:01:27,000 Dot txt okay now in order to work with Python 3.12, you know we have to install Neo4j's and please 23 00:01:27,000 --> 00:01:31,000 be specific with this particular version, right? 24 00:01:31,000 --> 00:01:35,000 Because I tried out different version and it was not working exactly. 25 00:01:35,000 --> 00:01:38,000 When we are specifically working with Python programming language. 26 00:01:38,000 --> 00:01:39,000 Right. 27 00:01:39,000 --> 00:01:41,000 Uh, specifically with 3.12 version. 28 00:01:41,000 --> 00:01:44,000 So this was the right combination. 29 00:01:44,000 --> 00:01:48,000 After a lot of research, uh, I saw and it was probably working in our local. 30 00:01:48,000 --> 00:01:54,000 If you are using Google Colab and all, uh, you don't have to probably, uh, you know, just use this 31 00:01:54,000 --> 00:01:58,000 particular version also automatically, whatever is the compatible thing over there, it will be considering 32 00:01:58,000 --> 00:02:01,000 that right now I have this. 33 00:02:01,000 --> 00:02:05,000 Along with this, I will also go ahead and install my Lang chain. 34 00:02:05,000 --> 00:02:09,000 Then I will write lang chain underscore community. 35 00:02:09,000 --> 00:02:09,000 Okay. 36 00:02:09,000 --> 00:02:11,000 So this is what I'm actually going to use. 37 00:02:12,000 --> 00:02:15,000 Um, not only that, I'll also use OpenAI. 38 00:02:15,000 --> 00:02:22,000 I don't require OpenAI, but let's take this and then I'll also have lang chain underscore grok, because 39 00:02:22,000 --> 00:02:26,000 we will be using uh, open source paid LLM models. 40 00:02:26,000 --> 00:02:28,000 So open source LLM models not paid. 41 00:02:28,000 --> 00:02:32,000 Then I'll have Python uh dot env. 42 00:02:32,000 --> 00:02:35,000 So let's go ahead and install all this libraries. 43 00:02:35,000 --> 00:02:41,000 So first of all I will just go ahead and say hey Conda activate V and we will clear all the screen. 44 00:02:41,000 --> 00:02:47,000 And now let me go ahead and do the installation of all the libraries. 45 00:02:48,000 --> 00:02:50,000 So spelling mistake. 46 00:02:50,000 --> 00:02:54,000 It's okay I will just go ahead and pip install r requirements.txt. 47 00:02:55,000 --> 00:02:58,000 Um lang chain underscore grok. 48 00:02:58,000 --> 00:03:02,000 It's okay because I made a spelling mistake. 49 00:03:02,000 --> 00:03:03,000 Okay. 50 00:03:03,000 --> 00:03:05,000 Please don't forget to save the file. 51 00:03:05,000 --> 00:03:06,000 Okay. 52 00:03:06,000 --> 00:03:10,000 Um, so here you can see all the installation will start taking place. 53 00:03:10,000 --> 00:03:16,000 So once you do this specific installation, uh, it is also necessary that we will go ahead and create 54 00:03:16,000 --> 00:03:18,000 our dot env file. 55 00:03:18,000 --> 00:03:25,000 So here I am going to specifically take my dot env file and um, you know, just to play with some of 56 00:03:25,000 --> 00:03:26,000 the things. 57 00:03:26,000 --> 00:03:29,000 First of all, I'm just going to go ahead and put my grok API key. 58 00:03:29,000 --> 00:03:30,000 Right. 59 00:03:30,000 --> 00:03:36,000 So this I will be requiring it so that I can go ahead and experiment with all my different, different 60 00:03:36,000 --> 00:03:37,000 LLM models. 61 00:03:37,000 --> 00:03:37,000 Right. 62 00:03:38,000 --> 00:03:41,000 Um, different different open source models. 63 00:03:41,000 --> 00:03:43,000 That is the reason we are specifically using this. 64 00:03:43,000 --> 00:03:46,000 So okay, so uh, this was the basic setup. 65 00:03:46,000 --> 00:03:52,000 Please make sure that you have this entire, uh, this version specifically. 66 00:03:52,000 --> 00:03:57,000 You use it because we will be using this version with respect to the neo 4G or ADB, right? 67 00:03:57,000 --> 00:04:03,000 Whenever we want to connect with the database itself and try to insert some kind of datas and all. 68 00:04:03,000 --> 00:04:06,000 Now in my, um, so this was the initial setup. 69 00:04:06,000 --> 00:04:12,000 Uh, in the next section, we are going to see that how we can go ahead and get started. 70 00:04:12,000 --> 00:04:18,000 And again, for this, I've already told you, please make sure that you have the copy of your entire 71 00:04:18,000 --> 00:04:20,000 database information. 72 00:04:20,000 --> 00:04:21,000 And this. 73 00:04:21,000 --> 00:04:23,000 I have told you to save it somewhere, right? 74 00:04:23,000 --> 00:04:26,000 So this information please, you really require it? 75 00:04:26,000 --> 00:04:32,000 Because I will be using this particular database information and try to access my DBS right to for the 76 00:04:32,000 --> 00:04:33,000 insertion purpose. 77 00:04:33,000 --> 00:04:35,000 So yes, uh, this was it. 78 00:04:35,000 --> 00:04:41,000 I will see you all in the next video where we will be continuing the discussion with respect to graph 79 00:04:41,000 --> 00:04:42,000 DB with long chain.