LangSmith vs Ragas
A side-by-side comparison of LangSmith and Ragas, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | LangSmith | Ragas |
|---|---|---|
| Category (differs) | Observability | Eval |
| Pricing (differs) | FREEMIUM | FREE |
| License (differs) | Proprietary | Open source |
| Deployment (differs) | Cloud | — |
| Platforms (differs) | API, Web | CLI, API |
| Model support (differs) | Model-agnostic | BYO key / model |
| Vendor (differs) | LangChain | Exploding Gradients |
The honest brief
LangSmith
Deepest native LangChain/LangGraph tracing — but cloud-only, where Langfuse lets you self-host the same.
- Native LangChain/LangGraph tracing
- Works standalone via SDKs
- Datasets + eval orchestration
- Prompt playground built in
- Closed source, cloud-only
- Self-host is Enterprise-only
- Best value inside LangChain stack
Ragas
Popularized reference-free RAG metrics — faithfulness, context precision — scored by an LLM judge, so you evaluate without gold answers.
- Faithfulness & relevancy metrics
- Knowledge-graph synthetic test sets
- LLM-as-judge scoring
- Integrates LangChain, LlamaIndex, CI
- LLM-judge scores add cost/variance
- Python library, no hosted UI
- Focused on RAG, narrower scope