LlamaIndex's weekly update introduces several innovations and enhancements for its followers, focusing on privacy-preserving techniques and advanced capabilities in retrieval-augmented generation (RAG) applications. The update highlights the introduction of LlamaPack, based on Xinyu Tang's paper, which enables secure in-context learning through differential privacy, and a privacy-preserving RAG network that allows the utilization of sensitive datasets without compromising individual privacy. The integration of Databricks Vector Search enhances vector search capabilities within the LlamaIndex ecosystem. The update also features advanced guides and tutorials, including using MistralAI with LlamaIndex for RAG and agent development, incorporating custom models, and combating prompt injection attacks. Additionally, it announces upcoming webinars and events, such as a panel discussion on RAG's future and a meetup in Paris, emphasizing the ongoing commitment to fostering a collaborative and innovative community around RAG technologies.