LlamaIndex is an open-source AI framework for building agents and RAG pipelines with multi-step orchestration, asynchronous execution, and structured data extraction. Paired with LlamaParse, a commercial document processing service, it enables developers to automate complex workflows and transform unstructured documents into LLM-ready outputs using vision language models and specialized extraction agents.
LlamaIndex is an open-source AI framework that serves as the orchestrator for multi-step AI workflows, enabling developers to build sophisticated agents and retrieval-augmented generation (RAG) pipelines with Python or TypeScript. The framework supports complex agentic applications through multi-step orchestration with loops and parallel paths, fully asynchronous execution for integration with frameworks like FastAPI, and event-driven architecture that allows workflows to start, pause, and resume statefully on demand. Paired with LlamaParse, a commercial AI document processing service, LlamaIndex enables end-to-end automation of document-heavy workflows—LlamaParse uses vision language models and specialized extraction agents to transform complex document layouts into clean, LLM-ready outputs, handling text, charts, tables, handwritten content, and multimodal documents with auto-correction mechanisms for high accuracy on messy scans. The framework includes built-in tracing and debugging tools, type-safe customization for controlling argument passing across steps, and structured data extraction capabilities, making it suitable for invoice processing, financial due diligence, technical document analysis, and insurance claims automation. With 25M+ monthly downloads, 1,500+ contributors, and 20,000+ community members, LlamaIndex is widely adopted across engineering, finance, healthcare, and software development organizations; the open-source framework is free to use, while LlamaParse offers tiered pricing starting at $50/month for production document processing workloads.
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