# LlamaIndex

> Enterprise document processing and AI agent framework for building GenAI applications with parsing, extraction, indexing, and retrieval capabilities.

LlamaIndex delivers enterprise-grade document processing and AI agent development tools, combining industry-leading document parsing with a comprehensive framework for building GenAI applications. The platform has processed over 500 million documents and serves more than 200,000 LlamaCloud users, with 4 million+ package downloads monthly. It enables organizations across finance, insurance, manufacturing, and healthcare to transform unstructured data into intelligent automation.

- **LlamaParse** provides industry-leading document parsing for 90+ unstructured file types, handling embedded images, complex layouts, multi-page tables, and handwritten notes with exceptional accuracy.

- **LlamaExtract** transforms unstructured content into structured insights using schema-based, LLM-powered extraction agents with page citations and confidence scores for trustworthy results.

- **LlamaCloud Index** offers enterprise-grade chunking and embedding pipelines optimized for precision and relevance in retrieval-augmented generation (RAG) applications.

- **Workflows** is an event-driven, async-first workflow engine that orchestrates multi-step AI processes, agents, and document pipelines with the ability to launch, pause, and resume statefully.

- **Modular Building Blocks** include core components like state management, memory, human-in-the-loop review, and reflection for rapid agent development.

- **Developer-First SDKs** provide fully-featured Python and TypeScript libraries that easily embed into existing tech stacks with pre-built connectors for LLMs, data sources, and vector databases.

- **Enterprise Integrations** support external data sources including S3 Bucket, Azure Blob Storage, Microsoft OneDrive, SharePoint, Box, Google Drive, and Confluence.

To get started, sign up for a free account with 10,000 credits included. Use the LlamaCloud platform to parse documents, extract structured data, and build indexes. For custom agent development, leverage the open-source LlamaIndex framework with comprehensive documentation available at docs.llamaindex.ai. Enterprise customers can deploy in private VPCs across all major cloud providers with SOC 2 Type II certification.

## Features
- Document parsing for 90+ file types
- Embedded image extraction
- Complex layout handling
- Multi-page table parsing
- Handwritten notes recognition
- Schema-based LLM extraction
- Page citations and confidence scores
- Enterprise-grade chunking and embedding
- Event-driven workflow orchestration
- Async-first architecture
- State management
- Memory components
- Human-in-the-loop review
- Python SDK
- TypeScript SDK
- Pre-built LLM connectors
- Vector database integrations
- S3 Bucket integration
- Azure Blob Storage integration
- Microsoft OneDrive integration
- Microsoft SharePoint integration
- Box integration
- Google Drive integration
- Confluence integration
- VPC deployment
- SOC 2 Type II certified

## Integrations
S3 Bucket, Azure Blob Storage, Microsoft OneDrive, Microsoft SharePoint, Box, Google Drive, Confluence, AWS, Microsoft Azure, FastAPI

## Platforms
LINUX, WEB, API, DEVELOPER_SDK

## Pricing
Open Source, Free tier available

## Links
- Website: https://www.llamaindex.ai
- Documentation: https://docs.llamaindex.ai/en/stable/
- Repository: https://github.com/run-llama
- EveryDev.ai: https://www.everydev.ai/tools/llamaindex