LlamaIndex
LlamaIndex is the leading data framework for building LLM applications
About LlamaIndex
LlamaIndex is a flexible data framework designed to connect custom data sources to large language models (LLMs). It simplifies the process of building, iterating, and deploying multi-agent AI systems, enabling autonomous task execution over various data types. LlamaIndex supports both read and write functions, allowing dynamic data ingestion and modification through a reasoning loop and tool abstractions.
Key Features
- Distributed service-oriented architecture
- Standardized API interfaces
- Agentic and explicit orchestration flows
- Ease of deployment
- Scalability and resource management
Use Cases
- Complex question-answering systems
- Collaborative AI assistants
- Distributed AI workflows
- Context-augmented applications
- Document understanding and extraction
Demo Video
Video Reviews
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User Reviews 3
Jeppesen Engineer
Software Engineer at Jeppesen (Boeing)We explored more rigid graph-based frameworks. But it was LlamaIndex's event-driven workflows and full control over state transitions that won us over.
2026-06-03Delphi Team
Engineering Team at DelphiWe rebuilt our entire architecture to move beyond simple RAG. LlamaParse gives us confidence that every file a creator uploads becomes usable, trusted training data.
2026-06-03StackAI Team
Product Team at StackAICustomers tell us our document parsing is 'really, really good'—and that's in large part thanks to LlamaParse.
2026-06-03Frequently Asked Questions
- Distributed service-oriented architecture
- Standardized API interfaces
- Agentic and explicit orchestration flows
- Ease of deployment
- Scalability and resource management
Details
- Category: Agent Builder
- Industry: Technology
- Access: Open Source
- Pricing: Freemium
- Created By: LlamaIndex AI