How to avoid generating individual metadata.json files when ingesting documents into Amazon Knowledge Base?

Yes, there is a way to reduce the need for individual metadata.json files when ingesting documents into Amazon Bedrock Knowledge Base. Instead of creating separate metadata files for each document, you can use a CSV (Comma-Separated Values) file to store metadata collectively for multiple documents.

Here's how you can implement this approach:

1. Create a single CSV file that contains metadata for all your documents. This file should have a header row with column names representing different metadata fields.

2. Upload this CSV file to your S3 bucket along with your documents.

3. Create a single metadata.json file for the CSV file. This metadata.json file will provide instructions on how to treat the columns in your CSV file.

4. In the metadata.json file, you'll need to specify:

• The metadataAttributes section, which defines the attributes and their types.
• The documentStructureConfiguration section, which tells the knowledge base how to interpret the CSV file.

5. In the documentStructureConfiguration, you'll specify:

• The content fields (columns that contain the actual document content)
• The metadata fields (columns that contain metadata about the documents)

By using this method, you can have a single CSV file and a corresponding metadata.json file, instead of potentially having hundreds or thousands of individual metadata files.

Remember to ensure that:

• Your CSV file is in RFC4180 format and UTF-8 encoded.
• The first row of your CSV includes header information.
• Metadata fields provided in your metadata.json are present as columns in your CSV.
• The CSV file and its metadata.json file are properly named and located in your S3 bucket.

This approach can significantly simplify your metadata management, especially in a production setup with many documents from a GitHub repository. It allows you to centralize your metadata in one file, making it easier to maintain and update as needed.
Sources
Include metadata in a data source to improve knowledge base query - Amazon Bedrock