Enables structured information extraction from academic PDFs using LLMs, integrating with Claude Desktop for natural language querying and batch processing.
Enables academic literature management through PDF import, hybrid search, knowledge graph construction, and automated literature review generation. Combines full-text search with semantic vector search for comprehensive paper analysis.
Enables users to search and analyze academic papers from multiple sources, fetch metadata and full text, and build structured outputs like literature maps and paper comparisons.
Enables searching, downloading, and managing academic papers from arXiv.org through natural language interactions. Provides tools for paper discovery, PDF downloads, and local paper collection management.
Enables searching, downloading, and reading academic papers from multiple platforms including arXiv, Semantic Scholar, PubMed, bioRxiv, medRxiv, IACR, Google Scholar, RePEc/IDEAS, and Sci-Hub with PDF to Markdown conversion.
Enables searching, retrieving, and reading academic papers from arXiv while analyzing citation networks via Semantic Scholar. It allows users to extract full-text content from PDFs and explore references or citations sorted by impact.