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Dify vs LlamaIndex

A side-by-side comparison of Dify and LlamaIndex, two Orchestration tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Dify

Orchestration

Visual platform for agentic workflows, RAG pipelines, and LLM apps.

View Dify

LlamaIndex

Orchestration

The data framework for LLM apps — RAG, agents, and document workflows.

View LlamaIndex

At a glance

Feature comparison of Dify and LlamaIndex
AttributeDifyLlamaIndex
CategoryOrchestrationOrchestration
PricingFREEMIUMFREEMIUM
License (differs)ProprietaryOpen core
Deployment (differs)Hybrid
Platforms (differs)Web, APIAPI, CLI
Model supportModel-agnosticModel-agnostic
Vendor (differs)Dify (LangGenius)LlamaIndex
Capabilities (differs)
  • Workflow orchestration
  • Agent framework
  • MCP server
  • LLM observability
  • RAG pipeline
  • AI app builder
  • Agent framework
  • RAG pipeline
  • Vector search
  • Chat with documents
  • Document parsing (structured)
  • Structured extraction

The honest brief

Dify

Bundles a workflow builder, RAG, and observability into one self-hostable platform spanning hundreds of models.

  • Drag-and-drop workflow builder
  • RAG + agents + observability in one
  • Prototype to production, little glue code
  • Provider-agnostic model management
  • License is source-available, not OSI
  • Visual builder limits complex logic
  • Self-host ops overhead
  • Cloud tiers needed for scale

LlamaIndex

Retrieval-first where LangChain is orchestration-first — LlamaParse is the go-to for PDFs that defeat normal parsers.

  • Best-in-class RAG primitives
  • LlamaParse for hard documents
  • Python + TypeScript
  • Managed LlamaCloud option
  • Narrower than full orchestration frameworks
  • LlamaCloud parsing is paid
  • API churn between versions

When to pick which

Both cover Agent framework and RAG pipeline.

Pick Dify if you need Workflow orchestration, MCP server, LLM observability, and AI app builder.

  • Workflow orchestration (primary capability)
  • MCP server (secondary capability)
  • LLM observability (secondary capability)
  • AI app builder (primary capability)

Pick LlamaIndex if you need Vector search, Chat with documents, Document parsing (structured), and Structured extraction.

  • Vector search (secondary capability)
  • Chat with documents (secondary capability)
  • Document parsing (structured) (primary capability)
  • Structured extraction (secondary capability)

LlamaIndex leans on RAG pipeline as a headline capability; Dify treats it as secondary.

  • RAG pipeline (primary capability)

They also differ on:

License
Proprietary · Open core
Platforms
Web, API · API, CLI