RAG App on AWS

This tool provides a Terraform-based solution for deploying a complete AWS backend service, ideal for building Retrieval-Augmented Generation (RAG) applications. By integrating Google's free-tier Gemini Pro and Embedding models, it allows for AI-powered document querying. Key components include a Streamlit UI for interaction and a Remote Streamable HTTP-based Web Search MCP Server. It offers a streamlined approach to setting up the necessary infrastructure for document processing, semantic search, and AI-driven question answering.