The latest edition of the LlamaIndex newsletter introduces several new resources and updates, including the public beta launch of LlamaExtract, which allows users to define schemas and automatically extract structured data from documents. The newsletter also highlights a step-by-step tutorial on building an agentic reasoning system for search and retrieval using corrective RAG and offers free courses on building agentic systems with LlamaIndex in collaboration with DeepLearning.AI and HuggingFace. Additionally, readers can learn about creating an AI voice assistant pipeline using ROCm, LlamaIndex, and RAG on AMD GPUs, and large-scale structured extraction with LlamaExtract. The newsletter also mentions a Gen AI Toolbox for Databases integration with Google Cloud, aimed at simplifying the development of AI agents, and a unified Google AI integration that supports Google Gemini and Google Vertex AI for tasks ranging from streaming to structured prediction.