# LangSmith vs Open-RAG-Eval — Fit & Features

Canonical: https://trutool.co/compare/langsmith-vs-open-rag-eval
Author: Snehil (https://trutool.co/authors/snehil)

Compare LangSmith and Open-RAG-Eval by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### LangSmith
Observe, evaluate, and deploy AI agents across supported frameworks.
Best fit: AI engineers testing agent quality and monitoring production behavior.
- Agent tracing
- Evaluation workflows
- Agent deployment
Before you choose: Use representative test cases and inspect evaluator failures. Check trace retention, sensitive-data handling, and usage costs.
Pricing: https://www.langchain.com/pricing
- [Read LangSmith profile](https://trutool.co/tools/langsmith): Read LangSmith profile

### Open-RAG-Eval
RAG evaluation without the need for "golden answers".
Best fit: People and teams evaluating ai evaluation & observability for a specific workflow.
- Core product workflow
Before you choose: Test a representative task, inspect outputs, and confirm integrations, permissions, data handling, licensing, and current costs.
Pricing: https://github.com/pricing
- [Read Open-RAG-Eval profile](https://trutool.co/tools/open-rag-eval): Read Open-RAG-Eval profile