LlamaIndex has announced the beta release of LlamaCloud, a data processing layer designed for large language model (LLM) applications. LlamaCloud aims to streamline data parsing, indexing, and retrieval for unstructured data, thus enhancing the efficiency of RAG pipelines and agents. The platform allows AI engineers to focus more on prompting and agentic orchestration by reducing the time spent on data ETL and management. A waitlist has been opened for users to sign up for LlamaCloud. Additionally, Lyzr, a full-stack autonomous AI agent framework, has built a $1M+ ARR business utilizing LlamaIndex for data connectors and RAG functionality. LlamaCloud also supports GenAI workflows and features integration with NebulaGraph, enabling powerful GraphRAG capabilities through its property graph index.