BillyCherres/ai-reaserch-paper-analyzer
A FastAPI backend that lets you upload academic research papers as PDFs and ask questions about them. It extracts text from uploaded papers, breaks it into chunks, and stores vector embeddings in ChromaDB. When you ask a question, it finds the most relevant chunks using semantic search and passes them as context to Google Gemini -> this is RAG
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Language
Python
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Last pushed
Mar 21, 2026
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/BillyCherres/ai-reaserch-paper-analyzer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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