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CrewAI vs LlamaIndex
LlamaIndex focuses on data-centric retrieval, whereas CrewAI provides end-to-end agent orchestration and governance.
CrewAIFramework and platform for multi-agent AI systems
LlamaIndexFramework for LLM apps and agents over your dataWhich to pick
Pick CrewAI if you want…
- Enterprise-grade multi-agent AI platform
- Multi-agent AI systems
- Integrations with GitHub, Slack or OpenTelemetry (on CrewAI's list, not LlamaIndex's)
Pick LlamaIndex if you want…
- Agentic OCR for complex docs
- Data-aware LLM apps
- Integrations with Microsoft Azure Marketplace (on LlamaIndex's list, not CrewAI's)
CrewAI focuses on multi-agent orchestration, whereas LlamaParse specializes in document parsing and extraction.
Side by side
- What it is
- CrewAI:CrewAI is a platform for building, governing, and running multi-agent AI workflows in enterprises.
- LlamaIndex:LlamaParse converts complex documents into structured, AI-ready data with agentic OCR and extraction.
- Best for
- CrewAI:Enterprise-grade multi-agent AI platform
- LlamaIndex:Agentic OCR for complex docs
- Who it’s for
- CrewAI:Business teams and engineers who need to create and manage production AI agents.
- LlamaIndex:Developers building AI agents and RAG pipelines that need accurate document parsing.
- Pricing
- CrewAI:Freemium
- LlamaIndex:Freemium
- Plans
- CrewAI:Basic Free
- LlamaIndex:Free $0
- Open source
- CrewAI:Yes, 59,265 GitHub stars
- LlamaIndex:Yes, 52,381 GitHub stars
- Works with
- CrewAI:GitHub, Slack, OpenTelemetry, CrewAI Cloud
- LlamaIndex:Microsoft Azure Marketplace
CrewAI features
- No-code visual editor. Drag-and-drop canvas to design agentic workflows, exportable to Python.
- Role-based agents. Define distinct agent roles to simplify orchestration and ensure deterministic flows.
- Governance control plane. Real-time tracing, RBAC, audit trails, SSO and PII redaction for compliant execution.
- Continuous improvement. Automated and human-guided training turns production runs into training data.
- Multi-LLM testing. Swap models at runtime and evaluate performance with built-in metrics.
- Enterprise integrations. Supports GitHub, Slack/Teams, OpenTelemetry and can deploy to CrewAI cloud, VPC or customer infrastructure.
LlamaIndex features
- Agentic OCR. Layout-aware parsing of tables, charts, images and handwriting with high accuracy.
- Schema-based Extraction. Turn unstructured content into structured JSON using LLM-powered agents without training.
- Document Splitting & Classification. Automatically segment and categorize documents using natural-language rules.
- Enterprise Indexing. Chunking and embedding pipeline for precise retrieval in RAG applications.
- LiteParse Local Engine. Open-source, fast, on-device parsing of PDFs, Office files and images with no cloud limits.
- Security & Compliance. SOC 2, GDPR, HIPAA compliance with encryption, VPC deployment and granular access controls.
CrewAI vs LlamaIndex FAQ
Is CrewAI or LlamaIndex free?+
CrewAI has a free plan (Basic) and paid plans. LlamaIndex has a free plan and paid plans.
Is CrewAI or LlamaIndex open source?+
Yes, both are open source: CrewAI (crewAIInc/crewAI on GitHub, MIT license) and LlamaIndex (run-llama/llama_index on GitHub, MIT license).
Do CrewAI and LlamaIndex integrate with the same tools?+
Their integration lists don't overlap: CrewAI lists GitHub, Slack, OpenTelemetry and CrewAI Cloud; LlamaIndex lists Microsoft Azure Marketplace.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.