Show HN: ArXiv Scholar – An Open-Source RAG System for AI Research Papers

Category: ai-ml

Tags: rag, hybrid-search, arxiv

Score: 6.5/10 (Innovation: 6, Technical: 6, Documentation: 7, Utility: 7)

ArXiv Scholar is an open-source RAG system for AI research papers that implements hybrid search with dense and sparse embeddings, intelligent query routing, and layout-aware parsing without high-level frameworks like LangChain. Its custom pipeline architecture and transparent design make it a solid tool for researchers exploring academic literature.

Target audience: ai researchers and engineers

Repository: https://github.com/Ethereal-Agents/arxiv-scholar · Jupyter Notebook · 2 stars

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