LlamaIndex Cloud
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AI Tool
Unlock the Power of LlamaIndex Workflows
Streamline Your AI Applications with Our Declarative Multi-Step Orchestration DSL
Create complex AI applications effortlessly with our event-driven framework.Gain enterprise-grade observability and debugging tools for seamless production readiness.Support for durable state management allows you to execute long-running processes with ease.
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overview
What are LlamaIndex Workflows?
LlamaIndex Workflows offer a powerful, declarative DSL for orchestrating multi-step agentic AI applications. With support for both Python and TypeScript, our platform is designed for AI engineers looking to simplify complex workflows and enhance their automation capabilities.
- Lightweight, event-driven framework for versatility.
- Seamless integration with existing AI tools and services.
- Optimized for modularity and efficient state management.
features
Key Features
Our latest Workflows 1.0 release brings a host of features tailored to your needs. These enhancements ensure you have complete control and flexibility while building robust AI systems.
- Async-first architecture for better performance.
- Built-in observability with tools like OpenTelemetry.
- Custom step-level execution with type-safe code.
use_cases
Who Can Benefit?
Designed specifically for AI engineers and enterprises, LlamaIndex Workflows is perfect for those constructing production-grade Retrieval-Augmented Generation pipelines and intelligent automation applications.
- Ideal for complex document processing systems.
- Perfect for creating modular, stateful applications.
- Enhances integration capabilities across industry-standard tools.
Frequently Asked Questions
What programming languages does LlamaIndex Workflows support?
LlamaIndex Workflows currently supports Python and TypeScript, allowing developers to choose the language that best fits their project.
How does LlamaIndex Workflows handle state management?
Our platform includes durable state management capabilities, enabling persistent states across runs through workflow instance storage and external checkpointing.
What advantages does the event-driven architecture provide?
The event-driven, async-first architecture offers greater flexibility and control for building complex agentic systems, making it ideal for modern AI applications.