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Commit dad29ca2 authored by nabil.abdennad's avatar nabil.abdennad
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Requirements moved to Part 1 and Part2

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## Set up environment:
1. AWS CLI: Ensure AWS CLI is installed and configured on your laptop(refer to the setup guide provided in Session 1).
2. Ensure python is installed: python 3.8 or higher.
3. Install required python libraries listed in the 'requirements.txt':
`pip3 install -r requirements.txt`
## Part 1:
### Step 1: Object storage Creation
Go to the Part1 folder: `cd Part1`
Install required python libraries listed in the 'requirements.txt': `pip3 install -r requirements.txt`
Create an S3 bucket and upload a few PDF files by running:
`python3 create-S3-and-put-docs.py --bucket_name [YourBucketName] --local_path [PathToYourPDFFiles]`
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### Step 2: Vector Store Creation
Go to the Part2 folder: `cd Part2`
Install required python libraries listed in the 'requirements.txt': `pip3 install -r requirements.txt`
Create a vector database for storing embeddings by running:
`python3 create-vector-db.py --collection_name [Name_of_colletion] --iam_user [YourIAM_user]`
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