PaperQA2 is a retrieval augmented generation package designed for scientific literature, supporting PDFs, text files, Office documents, and source code. It leverages LLMs to perform question answering, summarization, and contradiction detection with cited sources. The system offers both agentic and manual modes for adding and querying documents, supports various embedding models, and can use locally hosted or cloud-based language models.