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Index any research paper and have intelligent conversations about its content. Perfect for literature reviews, understanding complex papers, and staying current with the latest research.

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How It Works

Nia can index research papers from arXiv and make them searchable and queryable:
1

Index a Paper

Simply provide the arXiv URL or ID:
2

Chat with the Paper

Ask questions about the paper’s content:
  • “What are the main contributions of this paper?”
  • “Explain the methodology used in section 3”
  • “What datasets were used for evaluation?”
3

Compare Multiple Papers

Index multiple papers and search across them:
  • “Compare the approaches in papers X and Y”
  • “Find all papers that mention transformer architectures”

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Use Cases

Literature Reviews

Index dozens of papers in your research area and search across all of them at once. Find connections and compare methodologies effortlessly.

Paper Understanding

Struggling with a dense paper? Chat with it to get explanations of complex sections, mathematical notations, or experimental setups.

Research Discovery

Use Nia’s deep research to find relevant papers, then index them for detailed exploration.

Implementation Guidance

Ask questions about implementation details, hyperparameters, and reproduce results from papers.

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Quick Start

# In your AI coding agent, just say:
"Index https://arxiv.org/abs/2401.12345"

# Then ask questions:
"What problem does this paper solve?"
"Summarize the key findings"
"What are the limitations mentioned by the authors?"
Research papers indexed through Nia become part of your searchable knowledge base, alongside your repositories and documentation.

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Supported Sources

SourceFormatExample
arXivURL or IDhttps://arxiv.org/abs/2401.12345 or 2401.12345
arXiv PDFDirect PDF linkhttps://arxiv.org/pdf/2401.12345
Currently, Nia supports papers from arXiv. Support for more sources is coming soon.