LlamaIndex
Enterprise document processing and AI agent framework for building GenAI applications with parsing, extraction, indexing, and retrieval capabilities.
At a Glance
Pricing
Get started with LlamaIndex at no cost with 10K credits included and 1 user.
Engagement
Available On
About LlamaIndex
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.
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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.
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LlamaExtract transforms unstructured content into structured insights using schema-based, LLM-powered extraction agents with page citations and confidence scores for trustworthy results.
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LlamaCloud Index offers enterprise-grade chunking and embedding pipelines optimized for precision and relevance in retrieval-augmented generation (RAG) applications.
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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.
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Modular Building Blocks include core components like state management, memory, human-in-the-loop review, and reflection for rapid agent development.
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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.
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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.
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Pricing
Free Plan Available
Get started with LlamaIndex at no cost with 10K credits included and 1 user.
- 10K credits included
- 1 user
- File upload only
- Basic support
- 1 project
Starter
Starter plan with 50K credits included and Pay-as-you-go up to 500K credits.
- 50K credits included
- Pay-as-you-go up to 500K credits
- 5 users
- 5 external data sources
- Basic support
- 1 project
- 50 indexes
- 250 files in index
- 50 data sources
- 5 data sinks
- 5 extraction agents
- S3 Bucket
- Azure Blob Storage
- Microsoft OneDrive
- Microsoft SharePoint
- Box
- Google Drive
- SaaS deployment
Pro
Professional plan with 500K credits included and Pay-as-you-go up to 5,000K credits for power users.
- 500K credits included
- Pay-as-you-go up to 5,000K credits
- 10 users
- 25 external data sources
- Slack support
- 5 projects
- 100 indexes
- 1,250 files in index
- 100 data sources
- 25 data sinks
- 15 extraction agents
- S3 Bucket
- Azure Blob Storage
- Microsoft OneDrive
- Microsoft SharePoint
- Box
- Google Drive
- SaaS deployment
Enterprise
Enterprise-grade solution with Custom credit limits and Enterprise only features and dedicated support.
- Custom credit limits
- Enterprise only features
- Unlimited users
- Unlimited projects
- Unlimited indexes
- Unlimited files in index
- Unlimited data sources
- Unlimited data sinks
- Unlimited extraction agents
- All integrations including Confluence
- SaaS or VPC deployment
- Dedicated support
Capabilities
Key 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
