LlamaIndex is a toolkit for developers to integrate large language models with external data sources. It supports data ingestion from diverse formats like PDFs, databases, and APIs, indexing via vector embeddings and other methods for semantic search, and a query engine for natural language retrieval and synthesis. Features include customizable indexing, hybrid retrieval, data agents for complex tasks, and integrations with vector stores and LLMs for building RAG applications.