LlamaIndex Workflows
Orchestrate complex, multi-step agentic AI applications with a lightweight framework.
Executive Summary
LlamaIndex Workflows 1.0 is a lightweight framework designed for developing sophisticated, multi-step agentic AI applications. It enables developers to orchestrate complex AI processes by connecting various operations through an event-driven system. The framework supports common patterns like branching, fan-in/fan-out (parallelism), human-in-the-loop workflows, loops, and state management, facilitating the creation of robust and flexible AI systems. Workflows allow for the integration of different LlamaIndex components and external tools, providing a structured approach to building AI agents that can perform a sequence of tasks. This includes capabilities like virtual filesystem isolation (AgentFS) and advanced document understanding (LlamaParse), all wrapped within the workflow structure. It's particularly useful for scenarios requiring sequential decision-making, conditional logic, and stateful interactions within an AI application.
Use Cases
- Orchestrating multi-step agentic AI applications
- Building knowledge graph agents
- Implementing human-in-the-loop AI processes
- Creating event-driven AI systems with branching and parallelism
- Developing AI applications requiring shared state and async execution
Features
Intelligence
- Event-Driven Orchestration: Connects operations through an event-driven system for flexible and reactive AI applications.
- Branching: Allows for conditional logic and divergent paths within a workflow based on AI decisions or external events.
- Fan-In/Fan-out (Parallelism): Enables parallel execution of tasks for efficiency and then consolidates results.
- Human-in-the-Loop Workflows: Integrates human review and decision-making into AI processes at critical junctures.
- Loops in Workflows: Supports iterative processes and repeated execution of steps until a condition is met.
- State Management: Manages shared state across workflow steps for consistent context and data flow throughout the application.
Visibility
- Observability Dashboards: Provides detailed traces and metrics for monitoring agentic workflow execution and performance for developers.
Technical Specifications
- Architecture
- LlamaIndex Workflows are a lightweight, event-driven framework for organizing multi-step AI processes. They support common patterns like branching, fan-in/fan-out (parallelism), human-in-the-loop workflows, loops, and state management, enabling the creation of complex, asynchronous, and stateful agentic AI applications.
- Deployment
- SaaS (via LlamaCloud), Self-Hosted
- API Available
- Yes
- MCP Server
- Yes
Infrastructure
- AWS
AI/ML Stack
- Large Language Models (LLMs)
- LlamaIndex Agents
- LlamaParse
- AgentFS
Integrations
- OpenAI
- Anthropic
- Hugging Face
Security & Compliance
Certifications: SOC 2 Type II, GDPR, HIPAA
Pricing
- Model
- Credits-based, billed per page/usage
- Starting Price
- Free tier available, paid plans start at $25/month
- Target Customer
- SMB,Mid-Market,Enterprise
- Contract Type
- Monthly
- Free Trial
- Yes, Unlimited (Free Tier) (no credit card required)
About LlamaIndex
LlamaIndex delivers industry-leading document parsing and AI agent frameworks, providing a simple, flexible framework for building knowledge assistants using LLMs connected to enterprise data. It offers developer-facing libraries and integrations to simplify querying and managing unstructured data with large language models.