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mmTheBest / arxie

Research feedback grounded in the papers that define your field

Why this job: topics: rag, retrieval-augmented-generation

What it does

Most AI assistants become shallow when the question depends on a specialized literature. They can summarize a paper, but they usually do not know which baselines your field expects, which datasets and metrics define a valid comparison, or how your draft and results compare with the papers reviewers already know. Arxie is built for that gap: give it the papers that matter to your project, and ask it to synthesize evidence, compare methods, design benchmarks, plan experiments, map assumptions, and critique revisions.

Get started

pip install -e .[local-embeddings]

You need: Python 3.10+; Docker Desktop or Colima for the recommended local app workflow

Maintenance
Active
Last commit 4 months ago
Stars
114
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
1 releases
None marked latest
Built with
Python
62% of the code

Is it looked after?

Contributors
0
Last 90 days
Issues
None
No issues filed
Pull requests
1 merged
1 waiting
Releases
1
1 in the last year

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More: languages, topics and project record

Languages

  • Python 62%
  • JavaScript 28%
  • TypeScript 6%
  • CSS 2%

Topics

  • academic-research
  • ai-agent
  • arxiv
  • citation-analysis
  • fastapi
  • hypothesis-generation
  • langchain
  • literature-review
  • machine-learning
  • nlp
  • paper-search
  • pdf-parser

Project record

  • JobRAG and search
  • StatusListed
  • Commits123
  • Forks14
  • Watching10
  • Stars in 28 days0
  • CreatedFeb 27, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

Type to search.

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