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AI Tool Comparison
LlamaIndex vs Ragas
A side-by-side breakdown to help you pick the right tool for your workflow.
LlamaIndex
Connect your own data to LLMs for retrieval-augmented generation — LlamaParse (formerly LlamaCloud) automates document parsing, extraction, and indexing for agentic workflows.
Developer Tools
freemium
Ragas
Score RAG and agent outputs on faithfulness and context relevance, and generate synthetic test datasets when none exist — free open-source, maintained by Vibrant Labs (formerly ExplodingGradients).
Developer Tools
free
Bottom Line
LlamaIndex and Ragas are rated evenly — the right pick comes down to which workflow you're running.
Choose LlamaIndex if…
Developer Tools
Choose Ragas if…
Developer Tools
| Attribute | LlamaIndex | Ragas |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | free |
| Pricing Detail | Free (10K credits) / $5,000/mo Starter cap / Pro custom | Free and open source (Apache 2.0) |
| Rating |
Key Features
LlamaIndex
- Data ingestion and indexing
- Advanced retrieval and query engines
- Agents and workflows
- LlamaCloud and LlamaParse
Ragas
- RAG-specific metrics
- Faithfulness and relevancy scoring
- Synthetic test data generation
- Framework integrations
Pros
LlamaIndex
- •Best-in-class for RAG
- •Many data connectors
- •Good query abstractions
Ragas
- •Purpose-built for RAG eval
- •Actionable metrics
- •Open source
Cons
LlamaIndex
- Overlaps with LangChain
- Learning curve for advanced features
Ragas
- Focused only on evaluation
- Needs reference setup