#RAGs

RAGs is a Streamlit app designed for configuring RAG pipelines through natural language instructions. The application draws inspiration from OpenAI’s GPTs and facilitates task description, RAG parameter configuration, and RAG agent interaction. Users can adjust parameters like system prompts, summarization settings, and retrieval methods, providing a tailored querying solution. It is compatible with various LLMs and embedding models for versatile application. The default setup employs OpenAI, but it allows exploration of alternative models for customizing and querying RAG agents, ensuring efficient data interactions supported by community involvement.