Applications
Improve contract search accuracy with auto-generated filters in Amazon Bedrock
In this post, we describe how AIDA works at a high level and how it helps address these challenges — grounding users in the right contracts, under the right legal context, and within the right access
In this post, we describe how AIDA works at a high level and how it helps address these challenges — grounding users in the right contracts, under the right legal context, and within the right access boundaries. Specifically, we explore how AIDA uses implicit and explicit filtering, along with metadata-enriched chunking in Amazon Bedrock Knowledge Bases, to dramatically improve contract search accuracy.
Related
- Cost-efficient custom text-to-SQL using Amazon Nova Micro and Amazon Bedrock on-demand inference
- Build and deploy an automatic sync solution for Amazon Bedrock Knowledge Bases
- Extracting contract insights with PwC’s AI-driven annotation on AWS
Source: AWS ML Blog | 2026-08-18