Businesses across industries face a common challenge: how to efficiently extract valuable information from vast amounts of unstructured data. Traditional approaches often involve resource-intensive processes and inflexible models. This post introduces a game-changing solution: Claude Tool use in Amazon Bedrock which uses the power of large language models (LLMs) to perform dynamic, adaptable entity recognition without extensive setup or training.
In this post, we walk through:
- What Claude Tool use (function calling) is and how it works
- How to use Claude Tool use to extract structured data using natural language prompts
- Set up a serverless pipeline with Amazon Bedrock, AWS Lambda, and Amazon Simple Storage Service (S3)
- Implement dynamic entity extraction for various document types
- Deploy a production-ready solution following AWS best practices
What is Claude Tool use (function calling)?
Claude Tool…
