LlamaIndexvsCrewAI

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

CrewAI

AI Agent Frameworks

Framework for orchestrating role-based AI agent teams

FeatureLlamaIndexCrewAI
CategoryData & ETLAI Agent Frameworks
PricingFree (open-source) + CloudFree + Enterprise
GitHub Stars
More stars
38k
25k
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows
Key Features
  • RAG pipelines
  • Data connectors
  • Indexing
  • Query engine
  • Agent tools
  • Multi-agent collaboration
  • Role-based agents
  • Task delegation
  • Tool integration
  • Memory
  • Process types
Pros
  • + Best-in-class RAG framework
  • + 100+ data connectors
  • + Multiple index types
  • + Great documentation
  • + Active community
  • + Intuitive role-based agent design
  • + Built-in collaboration patterns
  • + Good documentation and examples
  • + Active development
  • + Simple Python API
Cons
  • Can be complex for simple use cases
  • Abstractions hide complexity
  • Learning curve for advanced features
  • Some features require LlamaCloud
  • Less flexible than raw LangChain
  • Relatively young framework
  • Limited built-in tools
  • Can be expensive with many agents
Tags
ragdataindexingopen-source
open-sourcemulti-agentorchestrationpythonteams

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