LlamaIndex has announced the release of version 0.10, marking significant enhancements toward production readiness with a new core package and improved organization through separate PyPi packages for integrations and LlamaPacks. The update includes refactoring LlamaHub to centralize integrations and deprecating ServiceContext for a better development experience. Additionally, LlamaIndex is offering short courses on advanced Retrieval-Augmented Generation (RAG) development, covering topics from unstructured data to agent integration, and encourages community creativity by inviting project submissions. New features include the Self-RAG LlamaPack, which enhances LLM training and RAG workflows, and integration with FlowiseAI for no-code RAG app development. LlamaIndex has also released a RAG CLI tool for file searching using language model embeddings, launched full-stack agent servers, and integrated DeepEval for improved RAG evaluation. The platform is expanding enterprise readiness and is open to partnerships, offering sneak peeks of upcoming products.