aws-samples / 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
Why this job: says: retrieval augmented; topics: retrieval-augmented-generation, vector-database, vector-search
What it does
This example notebook guides you through the process of utilizing Amazon Textract's layout feature. This feature allows you to extract content from your document while maintaining its layout and reading format. Amazon Textract Layout feature is able to detect the following sections:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 121
- On GitHub
- Licence
- MIT-0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
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- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
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More: languages, topics and project record
Languages
- Jupyter Notebook 100%
Topics
- information-extraction
- information-retrieval
- llm
- retrieval-augmented-generation
- vector-database
- vector-search
Project record
- JobRAG and search
- StatusListed
- Commits49
- Forks14
- Watching2
- Stars in 28 days0
- CreatedFeb 17, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026