RAG Assistant for Zotero is a utility tool designed to enhance the research experience by allowing users to interact with their Zotero library through natural language queries. This software utilizes retrieval-augmented generation (RAG) technology to deliver accurate, cited responses directly from the user's collection of research papers and documents. It offers flexibility by working with both local models like Ollama and various cloud APIs, including OpenAI, Anthropic, Google, and Mistral.

This free tool is tailored for researchers and students looking to streamline their information retrieval process. By facilitating natural language conversations with the library, it significantly improves productivity and the efficiency of accessing relevant information. Its integration with multiple models ensures that users have options that best suit their research needs.