Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
LlamaIndex Workflowsllamaindex.aiLlamaIndex provides an orchestrator framework called Workflows that lets developers build multi-step, agentic AI systems by chaining steps, adding loops, and running tasks in parallel with maximum control and type-safe data passing. The platform supports fully asynchronous, event-driven workflows that can start, pause, and resume on demand and easily integrate with Python apps like FastAPI. It includes LlamaParse for industry-leading document processing, has open-source components, and is trusted by developers and enterprises (e.g., Salesforce) for production-grade RAG, automation, and complex document-enabled workflows.
LlamaIndexLlamaIndex WorkflowsWords AI uses
AI reaches for event-driven · asynchronous · designed to manage multi-agent interactions when it describes LlamaIndex Workflows.
Sources
langchain.com shapes more of what AI says about LlamaIndex Workflows than any other source, at 31% of its citations.
docs.langchain.com · arxiv.org · blog.gopenai.com · google.com
The market map
LLM Agent Frameworks and Tooling →Excerpts where LlamaIndex Workflows appeared in the AI's answer
LlamaIndex Workflows : Best for event-driven, data-intensive pipelines .
Excerpts where LlamaIndex Workflows appeared in the AI's answer
LlamaIndex Workflows: Ideal when agents need heavy data retrieval (RAG) within their loop.
Excerpts where LlamaIndex Workflows appeared in the AI's answer
LlamaIndex Workflows : Best for document-heavy, retrieval-centric agents.
Excerpts where LlamaIndex Workflows appeared in the AI's answer
LlamaIndex Workflows — particularly strong when agents operate over data/RAG pipelines.
LlamaIndex Workflows: Provides event-driven, graph-based routing for multi-step tasks
