AI-Powered Research Paper Query Tool: Innovative RAG PipelineAI-Powered Research Paper Query Tool: Innovative RAG Pipeline
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Built a deployed AI tool that lets users upload research papers and query them using natural language. RAG pipeline with vector search retrieves precise context-aware answers. Features PDF parsing, AI summaries, topic modeling, and citation extraction. Live on Render.
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Istiak Ahmed's avatar
interesting
Moiz Ahmed's avatar
Thanks! It was built to make research paper analysis faster with RAG. Happy to share more if you’re working on something similar
Istiak Ahmed's avatar
That sounds cool — using RAG to speed up research paper analysis is a smart application.
I’m not currently building one, but I can definitely see how combining retrieval with structured insights would make literature review and knowledge extraction much more efficient....
Moiz Ahmed's avatar
For chunking I used RecursiveCharacterTextSplitter with chunk size 1000 and overlap 200 — this preserves context across chunks well.
For retrieval accuracy, ChromaDB with cosine similarity worked best. I also experimented with MMR (Maximum Marginal Relevance) to reduce redundant...
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