Turn Documents Into RAG Datasets Instantly
Generate canonical Q&A, query variations, evaluation benchmarks, and adversarial tests for your AI chatbot.
RAG Dataset Ready
47 Q&A pairs · 4 types
Coverage: 94%
16 of 17 chunks covered
0K+
Documents Processed
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Q&A Generated
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Export Formats
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Happy Users
Features
A Complete Developer Tool for RAG Datasets
Generate, evaluate, and stress-test your RAG pipeline with production-quality datasets
Canonical QA Dataset Generation
Generate 2-3 grounded question-answer pairs per chunk with confidence scores, difficulty levels, and question type classification.
Query Variant Generation
Automatically produce 3-5 alternative phrasings for each canonical question to test retrieval recall and improve RAG robustness.
RAG Evaluation Benchmark Datasets
Generate evaluation questions with expected answers and difficulty ratings to benchmark your RAG system's accuracy and completeness.
Adversarial Query Testing
Create adversarial questions with misleading assumptions, ambiguous phrasing, and contradiction tests to detect hallucinations.
Dataset Coverage Analyzer
Visualize how well your generated datasets cover every document chunk. Identify gaps and uncovered sections instantly.
Developer API
Integrate dataset generation into your own pipelines with our REST API. Export as JSON, LangChain, LlamaIndex, Pinecone, Qdrant, or pgvector.
How It Works
From Document to RAG Dataset in 3 Steps
Upload Your Document
Drag and drop technical docs, knowledge bases, or any document. We support PDF, DOCX, TXT and more.
AI Generates Datasets
Our AI chunks your document and generates structured Q&A datasets, query variants, and evaluation data automatically.
Export & Integrate
Download datasets in JSON, LangChain, LlamaIndex, Pinecone, pgvector, or evaluation formats. Plug directly into your RAG pipeline.
Pricing
Simple, Transparent Pricing
Free
Generate RAG datasets from small documents - no card needed.
- 30 pages per month
- 20 pages per document
- Up to 200 dataset items per doc
- JSON & CSV exports
- API access
Basic
Perfect for individual developers exploring RAG workflows.
- 1,000 pages per month
- 50 pages per document
- Up to 500 dataset items per doc
- All 9 export formats
- 500 API calls/month
- Overage page packs available
Starter
Ideal for developers & small teams building RAG pipelines.
- 2,000 pages per month
- 100 pages per document
- Up to 1,000 dataset items per doc
- All 9 export formats
- 1,000 API calls/month
- Overage page packs available
Professional
For AI teams, enterprises & production RAG systems.
- 6,000 pages per month
- 250 pages per document
- Up to 1,500 dataset items per doc
- All 9 export formats + Webhooks
- 3,000 API calls/month
- Overage page packs available
- Priority support
Testimonials
Trusted by AI Engineers & Data Teams
“I uploaded our entire knowledge base and got evaluation datasets in minutes. It completely changed how we benchmark our RAG pipeline.”
ML Engineer
AI Startup
“We use FAQai to create multilingual Q&A datasets for our chatbot training. The LangChain export saves our team hours every week.”
AI Lead
Enterprise SaaS
“The evaluation dataset format is a game-changer for RAG testing. I can generate ground-truth Q&A from 50-page docs and run RAGAS benchmarks instantly.”
Senior Data Scientist
Frequently Asked Questions
Can't find the answer you're looking for? Reach out to our support team.
Ready to Build Better RAG Datasets?
Upload any document and generate structured training and evaluation datasets in seconds - export as JSON, LangChain, LlamaIndex, Pinecone, pgvector, or CSV.
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