QGen – turn documents into AI-ready Q&A datasets(SaaS and on-prem)

Show HN: QGen – turn documents into AI-ready Q&A datasets(SaaS and on-prem)

QGen – turn documents into AI-ready Q&A datasets(SaaS and on-prem) is active in the show hn launch space.

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Hey HN,I built QGen, a tool that extracts structured Q&A datasets from documents using RAG (retrieval-augmented generation). I’d love feedback from anyone working with ML, document processing, or AI pipelines.ProblemTurning PDFs, Word docs, and other unstructured files into high-quality Q&A pairs for model training is slow and error-prone. QGen automates this process, making it fast and scalable.How It Works- Document ingestion – PDF, Word, Excel, PPT, OCR - Embedding & retrieval – semantic search over chunks - Q&A generation – LLM generates and filters candidate pairs - Quality scoring – four-dimensional metrics for relevance, coverage, consistency - Export / API – JSON, CSV, SQL, XML; on-p

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Website: qelab.org/products/qgen