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README.md

Retrieval Augmented Generation Solutions

This folder contains examples and solutions of Retrieval Augmented Generation (RAG) applications on Amazon Bedrock

Contents

  • Semantic Search - Sample embeddings search application with Amazon Titan Embeddings, LangChain, and Streamlit
  • SQL Query Generator & Executor - Sample SQL query generator and executor application with Amazon Titan Embeddings, Amazon Bedrock Claude Model, LangChain, and Streamlit
  • Multimodal RAG - Multimodal RAG with PDF files using both Bedrock Titan text embeddings and Claude LLM

Contributing

We welcome community contributions! Please ensure your sample aligns with AWS best practices, and please update the Contents section of this README file with a link to your sample, along with a description.