Posted 4/8/2024, 7:23:02 PM
Amazon Bedrock Knowledge Bases Gain Metadata Filtering for More Accurate, Relevant AI Responses
- Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy and relevance of responses from foundation models.
- You can provide a custom metadata file for each document to define attributes like tags, year, team etc. These are used to filter search results.
- Metadata filters allow you to retrieve not just semantically relevant chunks but a subset based on the filters, improving accuracy.
- The feature is available in the US East (N. Virginia) and US West (Oregon) regions. Use cases include document chatbots, conversational search, and intelligent search.
- The post walks through preparing a dataset, creating a knowledge base, querying with filters on the console and SDK, and cleaning up resources.