ScholarRAG

RAG-Powered Literature Analysis for HSS Researchers

ScholarRAG helps humanities and social-science researchers discover, organize, and synthesize academic literature using retrieval-augmented generation and knowledge graphs.

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Core Features

Multi-Source Discovery
Search OpenAlex, Semantic Scholar & CORE in one query.
Knowledge Graph RAG
LightRAG entity-relationship graphs for deep contextual retrieval.
AI-Assisted Writing
3-layer citation enforcement ensures every claim is grounded.
Multi-Format Export
Export your literature reviews as DOCX, PDF, or LaTeX.

Design Principles

Grounded Generation

Every claim requires a verifiable citation.

Hybrid Retrieval

Five retrieval modes — local, global, hybrid, naive, and mix.

Researcher-Governed

Per-user isolated knowledge bases with full data ownership.

Human Agency

Users control every step from search to final export.

How It Works

  1. 1

    Define your research question and search scope.

  2. 2

    Discover publications across multiple academic databases.

  3. 3

    Build a knowledge graph from retrieved literature.

  4. 4

    Explore entities and relationships in an interactive visualization.

  5. 5

    Generate a literature review with AI-assisted writing.

  6. 6

    Export the final document in your preferred format.

Ready to streamline your research?

Create a free account and start building your knowledge graph today.

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