RAGs is a web application that lets users create a retrieval-augmented generation pipeline by describing their data source and information needs in plain language. The app employs a builder agent to configure the RAG system, allowing users to fine-tune parameters like top-k retrieval and summarization before querying. It uses OpenAI language models for both the pipeline construction and the generated RAG agent, built on LlamaIndex.