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  title: Rag Transparency Lab
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  short_description: 'See inside every step of a RAG pipeline '
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  title: Rag Transparency Lab
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  short_description: 'See inside every step of a RAG pipeline '
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+ # 🔬 RAG Transparency Lab
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+ **See inside every step of a RAG pipeline — applied to scientific papers.**
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+ Upload any scientific PDF, ask a question, and watch the entire pipeline unfold — chunking strategies, hybrid retrieval scores, reranking decisions, filtering logic, and the exact prompt sent to the LLM.
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+ Built by **Zalina Dezhina, PhD** — AI Evaluation Scientist
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+ *RAG Education Series · Project 1 of 3*
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+ ---
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+ ## What this tool shows
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+ | Stage | What you see |
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+ |---|---|
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+ | 📄 Chunking | All chunks with word count, sentence count, strategy comparison |
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+ | 🔍 Retrieval | Dense score, BM25 score, hybrid score per chunk |
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+ | ⚖️ Reranking | Before/after rank, filter decisions with reasons |
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+ | 💬 Generation | Answer with citations + full prompt transparency |
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+ ## Stack
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+ `sentence-transformers` · `rank-bm25` · `pypdf` · `Anthropic API` · `Gradio`
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+ ## RAG Education Series
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+ 1. 🔬 **RAG Transparency Lab** ← this Space
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+ 2. ⚡ Classic vs Advanced RAG — side-by-side
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+ 3. 🧪 Scientific Claim Verifier
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+ ---
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+ [LinkedIn](https://linkedin.com/in/zalina-dezhina) · [GitHub](https://github.com/Mioulin)