Metadata filtering for tabular data with Amazon Bedrock Knowledge Bases

This article explains how to use the metadata filtering feature in Amazon Bedrock Knowledge Bases to retrieve more relevant and accurate results from tabular data.

Specifically, the article covers:

• Preparing data for metadata filtering by converting tabular data into individual text files with metadata attributes
• Creating and ingesting data and metadata into a Knowledge Base using the Boto3 SDK
• Retrieving data from the Knowledge Base using metadata filters like cholesterol content and preparation time
• Using the retrieved data along with an AI model to generate accurate responses based on the specified metadata filters
• Cleaning up resources like the Knowledge Base, data sources, and IAM roles/policies if not needed