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leo.pellandi
chatbot-lab-groupe4
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7e26a1ca
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7e26a1ca
authored
9 months ago
by
abir.chebbi
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## Part 1:
### Step 1:
Create S3 Bucket
### Step 1:
Object storage Creation
Create an S3 bucket and upload a few PDF files (Detailed steps are provided in the first session).
### Step 2: Vector Store Creation
To set up the Vector Store, run the following command:
`python Create-Vector-DB.py`
To set up the Vector Store, run the following command:
`python Create-Vector-DB.py`
This script performs the following actions:
*
Set up the security policies: Sets up encryption, network, and data access policies for collections starting with "test".
*
Set up the security policies: Sets up encryption, network, and data access policies for collections starting with "test".
*
Vector Store Initialization: Creates a vector store named test1, specifically designed for vector search operations.
*
Endpoint Retrieval: After the vector store is set up, the script retrieves and displays the store's endpoint for immediate use.
### Step 3:
Processing
PDF Files
### Step 3:
Vectorizing the
PDF Files
After setting up the S3 bucket and Vector Store, prepare to vectorize the PDF files:
*
In main.py, update the S3 bucket name to the one you created.
*
Update the Vector Store endpoint with the one provided by the setup script.
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