How to build a multilingual document summarization application using Amazon Bedrock
Public Sector Blog
This article demonstrates how to build a multilingual document summarization application using Amazon Bedrock, focusing on Indian languages and government document processing.
- The solution uses a serverless architecture with Amazon Bedrock, S3, API Gateway, and Lambda
- Utilizes Retrieval-Augmented Generation (RAG) approach with Cohere Embed – Multilingual model
- Supports querying and summarizing documents in multiple Indian languages
- Key steps include creating an S3 bucket, Amazon Bedrock knowledge base, Lambda function, and API Gateway
- Enables efficient document intelligence extraction with minimal manual effort
The application allows users to query documents in languages like Marathi, Hindi, and others, demonstrating the potential of generative AI in government and public sector document processing.
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