Evaluation & TestingPaper QA
LLM Chain for answering questions from documents with citations
- Status
- Not yet determined
- Last checked
- Unverified
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Paper QA is a tool that uses large language models to answer questions from documents while providing proper citations. It's useful for researchers and writers who need accurate, cited information.
Paper QA stands out by integrating large language models for question answering directly into document analysis, providing automatic citations which is crucial for academic and research purposes.
When it fits — and when it doesn’t
A good fit for
Academic researchers who need to cite sources accurately in their work
Content creators looking for a tool that can generate citations automatically
Developers building question-answering systems that require citation support
Look elsewhere if
Teams needing real-time responses as the processing time might be longer due to LLM inference
Projects with strict data privacy requirements, as it may involve handling sensitive documents
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited language support beyond English
Documentation and community examples primarily focus on English documents
- 02
Performance issues with large document sets
Processing time increases exponentially with the size of input documents, leading to slow response times for large datasets
What it does well
Generates citations for answers from documents
Uses large language models to understand and answer questions
Open-source with a permissive MIT license
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Paper QA
Setup steps, common gotchas and what to check after 30 days.