In today's data-driven world, efficiently ๐๐ฑ๐ญ๐ซ๐๐๐ญ๐ข๐ง๐ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐ซ๐จ๐ฆ ๐๐จ๐๐ฎ๐ฆ๐๐ง๐ญ๐ฌ is vital.
Traditional methods are slow and error-prone. Our solution uses AWS Bedrock and the Anthropic Claude 3 Haiku model to revolutionize this process.
๐๐๐ฒ ๐๐๐ง๐๐๐ข๐ญ๐ฌ:
๐น Prompt-Based Extraction: Seamlessly define and extract specific data from PDFs and images.
๐น Scalable Processing: Handle large and multipage documents with ease using AWS services.
๐น Accuracy with Human Review: Incorporate Amazon A2I for high-quality results through customizable human review loops.
๐๐ญ๐๐ฉ๐ฌ:
- ๐๐๐ซ๐ฏ๐๐ซ๐ฅ๐๐ฌ๐ฌ ๐๐จ๐ซ๐ค๐๐ฅ๐จ๐ฐ: Implement AWS Step Functions to manage the entire workflow.
๐. ๐๐๐ ๐ ๐๐ฑ๐ญ๐ซ๐๐๐ญ๐ข๐จ๐ง: Extract individual pages from multipage PDFs.
๐. ๐๐จ๐ง๐๐ฎ๐ซ๐ซ๐๐ง๐ญ ๐๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐ง๐ : Use the Map state to process multiple pages concurrently with the Amazon Bedrock API.
๐. ๐๐๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ง๐ ๐๐๐ฏ๐ข๐๐ฐ: Validate extracted data against business rules and use Amazon A2I for human review if needed.
๐. ๐๐๐ญ๐ ๐๐ญ๐จ๐ซ๐๐ ๐: Store the final output in an Amazon DynamoDB table.
๐ ๐๐๐๐ฆ ๐ก๐ ๐๐โ๐๐๐๐ ๐ฆ๐๐ข๐ ๐๐๐๐ข๐๐๐๐ก ๐๐๐๐๐๐ ๐ ๐๐๐? ๐ฟ๐๐๐๐ โ๐๐ค ๐ด๐๐ ๐ต๐๐๐๐๐๐ ๐๐๐ ๐ก๐๐๐๐ ๐๐๐๐ ๐ฆ๐๐ข๐ ๐ค๐๐๐๐๐๐๐ค๐ !