WEBVTT 00:00.240 --> 00:01.520 Hey there, Ethan here. 00:01.520 --> 00:06.480 And in this video, we'll be setting up our project of our reflection agent. 00:06.800 --> 00:13.440 So we'll create the project directory, and we'll use poetry to create our virtual environment and to 00:13.480 --> 00:15.000 install our dependencies. 00:15.240 --> 00:21.400 We'll then open PyCharm and configure it to point to the virtual environment we are using. 00:22.200 --> 00:29.520 And we'll create a dot env file that will hold all of our open AI API keys and Lamb-smith API keys, 00:29.520 --> 00:32.240 because we're going to be using Lamb-smith for tracing. 00:33.000 --> 00:38.040 By the way, all of the code of this video and the rest of the series is going to be on GitHub. 00:38.040 --> 00:41.240 So for this section it will be on the branch one. 00:41.280 --> 00:42.160 Start here. 00:43.880 --> 00:48.280 So in case you need to compare something you want to check out which versions I'm using. 00:48.280 --> 00:49.880 So feel free to check it out. 00:51.080 --> 00:57.400 Alrighty let's go and CD into desktop and I will creating a new directory. 00:57.400 --> 00:59.640 And I'm going to call it Land Graph Course. 01:00.320 --> 01:06.320 And let's go into this new directory and let's initialize our poetry environment. 01:06.320 --> 01:08.590 So I'm going to write poetry init it. 01:08.910 --> 01:12.750 I'm going to click enter and continue with the setup. 01:13.190 --> 01:18.950 And right now I have my poetry environment setup and I have a pyproject.toml file. 01:18.990 --> 01:20.070 Let's check it out. 01:20.750 --> 01:22.710 Nothing is yet installed. 01:22.710 --> 01:25.270 So let's go now and install everything. 01:25.630 --> 01:29.670 So I'm going to write poetry add and let's install Beautifulsoup. 01:29.870 --> 01:35.110 And we need this because link chain will use this library when it's going to download files from the 01:35.110 --> 01:37.710 web that we're going to ingest into our vector store. 01:38.710 --> 01:45.110 Let's install link chain link graph link chain hub. 01:46.590 --> 01:52.870 And we also want link chain community because we're going to be using third party loaders for loading 01:52.870 --> 01:53.790 our documents. 01:54.510 --> 01:59.230 Let's also install the SDK for our search engine. 02:01.710 --> 02:06.030 And I want to install chroma as our open source vector store. 02:07.310 --> 02:10.910 We want Python env for our environment variables. 02:11.510 --> 02:13.870 Black and I thought for formatting. 02:14.390 --> 02:22.500 And lastly let's also install Pytest because we're going to be writing tests and we love writing tests, 02:22.500 --> 02:23.100 don't we? 02:23.460 --> 02:28.700 And writing tests in generative applications is something which is super important. 02:28.700 --> 02:32.860 That's why it was really important for me to include testing in this course. 02:33.700 --> 02:37.260 And let's hit enter and install all those packages. 02:40.020 --> 02:41.580 So it's going to take a minute. 02:41.940 --> 02:43.900 So let me just fast forward it. 02:45.820 --> 02:48.180 And all of our packages are installed. 02:48.540 --> 02:51.260 We want now to open everything in PyCharm. 02:51.260 --> 02:54.180 So I'm going to select the project directory. 02:55.180 --> 02:56.140 It's going to be here. 02:57.220 --> 03:01.980 And we can see that PyCharm detected my poetry environment I'm going to approve it. 03:02.340 --> 03:05.780 And we are now indexing all of our packages. 03:06.380 --> 03:11.980 And if we'll take a look at our pyproject.toml file, we can see all the versions that we are using 03:11.980 --> 03:12.820 at the moment. 03:13.060 --> 03:19.180 And I will be updating the courses repository to be with the latest link chain and Landgraf versions 03:19.180 --> 03:19.900 all the time. 03:20.420 --> 03:26.290 Alrighty, let's go and create a new file and it's going to be our dot env file, which is going to 03:26.330 --> 03:28.610 hold all of our environment variables. 03:28.610 --> 03:35.930 So I'm simply going to paste them in and I'm going to put the OpenAI API key the API key. 03:36.290 --> 03:39.170 And we're going to enable Laxmi Tracing. 03:39.530 --> 03:42.610 We're going to call the Linux Mint project Chirag. 03:42.930 --> 03:47.050 We'll be needing our API key for our search engine. 03:47.370 --> 03:52.370 And I defined the Python path to point to the project's root directory. 03:53.090 --> 03:53.730 Alrighty. 03:53.730 --> 03:56.010 Let's create now our main file. 03:59.010 --> 04:04.130 And here we want to simply write the boilerplate code to first load the environment variables. 04:04.130 --> 04:09.450 And then to print something we'll print hello Advanced Rag. 04:10.090 --> 04:17.130 And let's as a sanity check run it and see that everything is working amazing. 04:17.130 --> 04:20.170 So we can see everything is working correctly. 04:21.130 --> 04:25.650 And if you want you can go to the courses repository at the branch one. 04:25.650 --> 04:28.570 Start here to check out the code. 04:28.570 --> 04:32.410 In the next video we'll cover the repository structure.