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ReportIQ

Evaluate RAG retrieval and explore your documents with AI

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ReportIQ is a document Q&A and RAG evaluation application built with Python and Streamlit. Ask questions about PDF documents, explore retrieval quality using BGE embeddings and FAISS, and inspect LLM workflows with LangSmith. Built for developers and AI practitioners experimenting with retrieval-augmented generation.

PH · launched Oct 30, 2026 · 2 upvotes (top 22%) · 0 views

Niche: rag developer frameworks and tools · 59 launches, 3 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • Developer
  • AI-native
  • Commercial product
  • Artificial Intelligence
  • GitHub

Visit website ↗ Source listing ↗

Could you build this?

Yes A Streamlit app that wraps existing components (PDF parsing, BGE embeddings, FAISS, LangSmith) is a standard RAG prototype that an AI coding assistant can produce quickly.

Competitors

Other products that read as similar to this one : 73 launches clear the similarity bar, closest 8 shown.

Attention rank: #12 of 74 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 364 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.