Why this server?
Supports multimodal RAG with text, images, tables, and equations, enabling reading of graphs and figures from PDFs and other documents, ideal for research discovery.
Why this server?
Provides full-text retrieval and image to LaTeX conversion, allowing reading of figures in academic papers, with search across arXiv, Semantic Scholar, and OpenAlex for novel discovery.
Why this server?
Offers multimodal document parsing and querying, including knowledge graph inspection, to read figures and understand relationships in research documents.
Why this server?
AI-assisted research server with paper ingestion, semantic search, and citation graph traversal, supporting novel discovery and reading PDFs, while exploring citation networks.
Why this server?
Local-first paper RAG server for searching and managing academic PDFs, with metadata enrichment and citation graphs, facilitating research discovery and PDF reading.
Why this server?
Analyzes research papers, maps citation graphs, and surfaces insights with private data handling, supporting novel discovery and PDF-based literature review.
Why this server?
Ingests full-text PDFs, extracts structured details, and manages citations, enabling researchers to read papers and explore literature workflows.
Why this server?
Builds a page-citable research knowledge base from PDFs with exact citations, helping researchers navigate and read academic documents for discovery.
Why this server?
Unified server for scientific literature search and extraction across databases, enabling discovery, citation tracking, and content analysis including reading PDFs.