LlamaIndexvsLangflow

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

LlamaIndex

Data & ETL

Featured

Data framework for connecting LLMs to external data

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

FeatureLlamaIndexLangflow
CategoryData & ETLAutomation Platforms
PricingFree (open-source) + CloudFree (open-source) + Cloud
GitHub Stars
More stars
38k
35k
PlatformsLinux, macOS, WindowsLinux, macOS, Windows, Docker, Web
Key Features
  • RAG pipelines
  • Data connectors
  • Indexing
  • Query engine
  • Agent tools
  • Visual builder
  • Drag-and-drop
  • Component library
  • API export
  • Multi-model
Pros
  • + Best-in-class RAG framework
  • + 100+ data connectors
  • + Multiple index types
  • + Great documentation
  • + Active community
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
Cons
  • Can be complex for simple use cases
  • Abstractions hide complexity
  • Learning curve for advanced features
  • Some features require LlamaCloud
  • Tied to LangChain ecosystem
  • Limited for very custom logic
  • Can be slow for complex flows
  • Still maturing
Tags
ragdataindexingopen-source
no-codevisuallangchainopen-source

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