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rag-as-a-service/README.md
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Build and deploy a production-ready Retrieval-Augmented Generation (RAG) service using Claude 3.5 Sonnet and Ragie.ai. This implementation allows you to create a document querying system with a user-friendly Streamlit interface in less than 50 lines of Python code. Build and deploy a production-ready Retrieval-Augmented Generation (RAG) service using Claude 3.5 Sonnet and Ragie.ai. This implementation allows you to create a document querying system with a user-friendly Streamlit interface in less than 50 lines of Python code.
### Features ### Features
- Production-ready RAG pipeline
Production-ready RAG pipeline - Integration with Claude 3.5 Sonnet for response generation
Integration with Claude 3.5 Sonnet for response generation - Document upload from URLs
Document upload from URLs - Real-time document querying
Real-time document querying - Support for both fast and accurate document processing modes
### How to get Started? ### How to get Started?