LlamaIndex
Data framework for building LLM applications, RAG systems, and agentic workflows.
- ai agent framework
- Research and knowledge
- Workflow automation
- Automate a workflow
Overview
LlamaIndex is an open-source framework for connecting language models with private and domain-specific data. It provides data connectors, indexing and retrieval components, agent tools, and event-driven workflows. Developers can use AgentWorkflow for multi-agent handoffs or an orchestrator that invokes specialized agents as tools.
Key features
- Data connectors and ingestion
- Indexes and retrieval pipelines
- Agent tools and workflows
- Agent handoffs and orchestration
- Event-driven workflow steps
- Python and TypeScript support
Use cases
- RAG pipelines
- Retrieval-augmented generation
- Python agent framework
- Knowledge assistants
- Data-connected agents
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Last updated 2026-09-16