LlamaIndex has introduced several new features and educational resources, alongside two notable announcements: an upcoming in-person hackathon and a webinar featuring Sehoon Kim and Amir Gholami discussing LLMCompiler. Recent advancements include RankGPT, utilizing GPT-3.5 and GPT-4 for document ranking, and Composable Retrievers, which streamline retrieval and RAG setups by linking diverse retrievers and pipelines. New tutorials cover topics such as advanced QA over tabular data, long-context embedding models, and building RAG chatbots. Additionally, LlamaIndex has launched LlamaPack for multi-stock ticker analysis and integrated with Tonic Validate for LLM-powered evaluations. A demo of RAG-Maestro, a web app for efficiently searching scientific concepts in ArXiv papers, showcases practical applications of these innovations. The community is encouraged to share projects and subscribe to the newsletter, with a focus on enhancing enterprise readiness for LlamaIndex users.