Layout Aware Document Processing And Retrieval Augmented Generation
Advanced document extraction and chunking techniques for retrieval augmented generation that is aware of the layout of documents. Increases knowledge retrieval accuracy and provides control for retrieved knowledge context management
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The Amazon Textract Textractor Library is a library that seamlessly works with Textract features to aid in document processing. You can start by checking out the examples in the documentation. This notebook utilizes the Textractor library to interact with Amazon Textract and interpret its response. It enriches the extracted document text with XML tags to delineate sections, facilitating layout-aware chunking and document indexing into a Vector Database (DB). This process aims to enhance Retrieval Augmented Generation (RAG) performance.
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- MIT-0
- Last commit
- 10 months ago
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Aws Samples
Publisher of IAM Identity Center Team, Serverless Patterns and Siem On Amazon Opensearch Service
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