agenta-ai/qa_llama_index_playground

This project is a question answering application with a RAG (Retrieval-Augmented Generation) architecture built using LlamaIndex and OpenAI, designed for developers and teams working with LLM applications. It provides a playground to experiment with prompts and parameters, and integrates with agenta, an open-source LLMOps platform for creating playgrounds, evaluating results, and deploying applications. The tool is ideal for teams looking to rapidly iterate on and optimize their LLM-based question answering systems.