FAQai

This tool generates production-ready datasets for RAG systems from uploaded documents, solving the problem of poor data quality that causes RAG failures. It creates Q&A pairs, evaluation benchmarks, and adversarial tests, and exports in 16 formats. It targets developers and data teams in B2B settings, offering a SaaS platform with a free tier. It is positioned as a developer-first tool with a REST API and a playground for testing retrieval quality.

Key features

• RAG-ready chunking
• Contextual chunk enrichment
• Canonical QA dataset generation
• Query variant generation
• RAG evaluation benchmark datasets
• Adversarial query testing
• Dataset coverage analyzer
• Quality insights across 9 categories
• RAG config generator
• Dataset customization
• RAG playground
• Developer API