PaperTrail

AI-powered research paper discovery, semantic search, and RAG-based Q&A over arXiv papers.

PaperTrail automatically fetches papers from arXiv, builds a semantic search index, and lets you ask research questions to receive LLM-synthesised, citation-backed answers.

Features

Capability Description
Ingest Fetch arXiv papers by category, download PDFs, extract + clean text, create embeddings
Semantic Search Find relevant paper chunks with cosine similarity (FAISS) + reranking
Q&A / Ask RAG-based question answering grounded in your paper corpus
Research Report Full pipeline: plan → retrieve → synthesise → critique → evaluate
Trends Surface trending keywords and categories across indexed papers
Offline-first Embeddings run locally (no API key needed for ingest + search)

Links: GitHub