# Amazon — Customizing your knowledge base on Amazon Bedrock for large and complex documents using Amazon Textract

- Company: Amazon (amazon.com)
- Announced: 2026-09-04T16:08:10+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/customizing-your-knowledge-base-on-amazon-bedrock-for-large-and-complex-documents-using-amazon-textract/
- Record: https://forck.live/items/8380-customizing-your-knowledge-base-on-amazon-bedrock-for-large-and-complex
- Subject: Bedrock / Nova

Amazon Bedrock and Amazon Textract are integrated to extract and analyze information from large, complex documents such as utility bills, enabling a Retrieval Augmented Generation (RAG) solution for customer service teams.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/customizing-your-knowledge-base-on-amazon-bedrock-for-large-and-complex-documents-using-amazon-textract/:

> Amazon Bedrock, integrated with Amazon Textract , provides the retrieval and generation capabilities to solve this. By combining the high-accuracy extraction of structured and unstructured content from Amazon Textract with the generative AI capabilities of Amazon Bedrock, organizations can move from manually searching through documents to programmatically querying them.

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