LlamaIndex is a flexible data framework designed to seamlessly connect custom data sources to large language models (LLMs). It streamlines the process of building, iterating, and deploying multi-agent AI systems, facilitating autonomous task execution across various data types. LlamaIndex supports both read and write functions, enabling dynamic data ingestion and modification through a reasoning loop and tool abstractions. This capability allows for more sophisticated interactions with data, enhancing the functionality and adaptability of AI-driven applications.