Amazon S3
Last updated
Last updated
This document outlines the process of connecting your Amazon S3 bucket to Frontman AI for efficient data ingestion and chatbot training. By following these steps, you can seamlessly import your training data and enhance your chatbot's capabilities.
1. Configure Amazon S3
Ensure data format compatibility: Verify that the data files in your S3 bucket are in a format supported by Frontman AI (e.g., CSV, JSON).
Organize data for optimal performance: Consider organizing your data into subfolders based on categories or types for efficient management.
2. Obtain AWS Credentials
Access your AWS Management Console.
Navigate to the IAM (Identity and Access Management) section.
Create a new user with programmatic access.
Attach necessary permissions to the user (e.g., AmazonS3FullAccess).
Download the user's access key ID and secret access key.
3. Configure Frontman S3 Connector
Access the data loader section and Select "Amazon S3" as the data source.
Provide the following information:
Bucket name or S3 URI: Enter the name or URI of your S3 bucket.
AWS Access Key ID: Paste the access key ID obtained in step 2.
AWS Secret Access Key: Paste the secret access key obtained in step 2.
Region Name: Specify the AWS region where your bucket is located.
4. Import Data
Import Frequency: Choose how often you want to import data (e.g., once, daily, hourly).
Import subfolders: Select this option if you want to recursively import data from subfolders within your S3 bucket.
Click "Connect" to establish connection.
Once connected you can see the files fetched in the Data bank
