{
 "schema_version": 1,
 "generated": "2026-10-31",
 "id": "vibrantlabsai-ragas--scaffold-a-rag-evaluation-project-with-ragas",
 "repo": "vibrantlabsai/ragas",
 "repo_url": "https://github.com/vibrantlabsai/ragas",
 "repo_slug": "vibrantlabsai-ragas",
 "title": "Scaffold a RAG evaluation project in one command",
 "page_title": "How to scaffold a RAG evaluation project in one command with Ragas",
 "summary": "Use the Ragas quickstart CLI to generate a complete example project for evaluating a RAG system.",
 "who": "A developer who has a RAG app and no evaluation setup yet.",
 "problem": "Starting an eval harness from a blank file is slow and easy to get wrong.",
 "outcome": "A ready-to-edit RAG evaluation project in a folder you choose.",
 "steps": [
  "Install Ragas with `pip install ragas`",
  "Run `ragas quickstart` to list the available templates",
  "Run `ragas quickstart rag_eval -o ./my-project` to create the RAG evaluation project",
  "Open the project, point it at your own RAG pipeline and run it"
 ],
 "agent_prompt": "Using vibrantlabsai/ragas, install it with `pip install ragas`, run `ragas quickstart rag_eval -o ./my-project`, then wire the generated project to <my RAG pipeline> and explain each file it created.",
 "agents": [
  "claude-code",
  "codex",
  "cursor",
  "gemini-cli"
 ],
 "difficulty": "Beginner",
 "time": "20 minutes",
 "basis": "readme",
 "caveat": "Only the rag_eval template is available today; agent, benchmark, prompt and workflow templates are listed as coming soon.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Python with pip",
  "An LLM provider key for LLM-based metrics, for example OPENAI_API_KEY in the README example",
  "uv or another way to run the quickstart CLI is optional"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/vibrantlabsai-ragas/scaffold-a-rag-evaluation-project-with-ragas/",
 "md": "https://dedupedai.com/use-cases/vibrantlabsai-ragas/scaffold-a-rag-evaluation-project-with-ragas/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/vibrantlabsai-ragas--scaffold-a-rag-evaluation-project-with-ragas.json",
 "api_version": "v1"
}