In the latest edition of the LlamaIndex newsletter, readers are introduced to several advancements in document processing and integration with the compact EmbeddingGemma model. The newsletter highlights the distinction between parsing and extraction approaches for document processing, crucial for those developing document agents. It also details the seamless integration of the multilingual EmbeddingGemma model with LlamaIndex's HuggingFace class, making it ideal for mobile-friendly applications. Additionally, the newsletter introduces LlamaClassify, an automated document classification system that eliminates manual sorting and provides reasoning for its decisions, beneficial for legal documents and contracts. LlamaCloud service offers easy deployment of templates for tasks like invoice processing and contract review, while LlamaParse now supports the Claude Sonnet 4.5 model for better document understanding. Moreover, a framework for agentic technical document analysis and an AG-UI full-stack template for creating agent-powered websites are introduced, enhancing the utility and application of LlamaIndex tools.