A React Native plugin enables access to Apple's on-device Intelligence Foundation Model framework, allowing developers to utilize local LLM APIs for generating structured outputs and managing sessions. It focuses on privacy by processing data on-device and supports various features like TypeScript, custom tools, and session management, making it suitable for AI-powered mobile applications.

React Native RAG is a new local library that enhances large language models (LLMs) with Retrieval-Augmented Generation (RAG) capabilities, allowing for improved, context-rich responses by retrieving relevant information from a local knowledge base. It offers benefits such as privacy, offline functionality, and scalability, while providing a modular toolkit for developers to customize their implementations. The library integrates seamlessly with React Native ExecuTorch for efficient on-device processing.