How Cato Networks uses Amazon Bedrock to transform free text search into structured GraphQL queries
Machine Learning Blog
Cato Networks has leveraged Amazon Bedrock to transform free text search into structured GraphQL queries for their SASE management console's events page. This innovation allows users to perform more intuitive searches across network and security events.
- Used a custom JSON schema to validate and structure natural language queries
- Implemented prompt engineering with Amazon Bedrock to convert text to structured filters
- Selected Anthropic's Claude model based on accuracy, latency, and cost
- Created a Natural Language Search service to bridge the management console and Bedrock
- Reduced query time from minutes to near-instantaneous results
The solution enables users with minimal product knowledge to quickly find and filter events, improving overall user experience and efficiency in data management.
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