RAGbased

Amazon Bedrock now supports advanced parsing, chunking, and query reformulation for improved accuracy in RAG-based applications- AWS Knowledge Bases

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Amazon Bedrock now supports advanced parsing, chunking, and query reformulation for improved accuracy in RAG-based applications- AWS Knowledge Bases

Knowledge Bases for Amazon Bedrock provides a managed service for implementing the Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without the need for custom integrations. However, in large or complex input text documents with PDF or .txt files, querying indexes may yield subpar results due to semantic relationships. New features … Read more

Utilize Modular Architecture for Adaptable and Scalable RAG-based Generative AI Solutions with Amazon Web Services

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Utilize Modular Architecture for Adaptable and Scalable RAG-based Generative AI Solutions with Amazon Web Services

Recovery-Augmented Generation (RAG) optimizes large language models (LLMs) by referencing authoritative knowledge bases outside of training data. This allows organizations to power generative AI applications with new, reliable data, enhancing interactions with chatbots. RAG reduces errors, answers business questions using personalized data, and keeps LLMs up to date cost-effectively. The use of RAG architecture in … Read more