Comparison
paper-qa vs knowledge-gpt
Verdict
Pick paper-qa if paperQA2 version 5 is a retrieval-augmented generation (RAG) system optimized for extracting information from scientific documents, enhancing user queries with citations; pick knowledge-gpt if knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers.
Markdown twin · paper-qa alternatives · knowledge-gpt alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | paper-qa | knowledge-gpt |
|---|---|---|
| Maintenance | Very active (5d since push) As of 2d · github_public_v1 | Dormant (1185d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- paper-qa
- High accuracy RAG for answering questions from scientific documents with citations
- knowledge-gpt
- Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.
Stars
- paper-qa
- 9.0k
- knowledge-gpt
- 291
Forks
- paper-qa
- 907
- knowledge-gpt
- 52
Open issues
- paper-qa
- 141
- knowledge-gpt
- 8
Language
- paper-qa
- Python
- knowledge-gpt
- Python
Adopt for
- paper-qa
- PaperQA2 version 5 is a retrieval-augmented generation (RAG) system optimized for extracting information from scientific documents, enhancing user queries with citations.
- knowledge-gpt
- knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers.
Persona
- paper-qa
- -
- knowledge-gpt
- -
Runtime
- paper-qa
- -
- knowledge-gpt
- -
License
- paper-qa
- 'Apache-2.0' - Permissive free software license that allows for both non-commercial use and commercial exploitation of the package.
- knowledge-gpt
- MIT
Last pushed
- paper-qa
- Aug 12, 2026
- knowledge-gpt
- Apr 25, 2023
Categories
- paper-qa
- Data & Retrieval, Model Training
- knowledge-gpt
- Data & Retrieval, Evaluation & Observability, LLM Frameworks, Model Training
Trust and health
Maintenance
- paper-qa
- Very active (96%)
- knowledge-gpt
- Dormant (18%)
Days since push
- paper-qa
- 5d
- knowledge-gpt
- 1185d
Open issues (now)
- paper-qa
- 141
- knowledge-gpt
- 8
Stars delta
- paper-qa
- +154 (30d)
- knowledge-gpt
- Unknown
Open issues delta
- paper-qa
- 0 (30d)
- knowledge-gpt
- Unknown
Full report
- paper-qa
- Trust report
- knowledge-gpt
- Trust report
Shared compatibility
- Python · paper-qa: Python runtime · knowledge-gpt: Python runtime
Choose paper-qa if…
- License: paper-qa is Apache-2.0, knowledge-gpt is MIT.
- Requirements: Min 4 GB RAM.
- Tags unique to paper-qa: ai, rag, science, search.
- Your project specifically requires processing and querying scientific documents, as PaperQA2 offers specialized capabilities tuned for this domain.
When NOT to use paper-qa
- If your use case does not involve scientific document processing, another RAG system better suited to your specific type of documents (e.g., legal, medical) might be more fitting.
- In scenarios where real-time performance is critical and extensive indexing or access to external APIs for large-scale paper handling becomes a bottleneck.
Choose knowledge-gpt if…
- License: knowledge-gpt is MIT, paper-qa is Apache-2.0.
- Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers.
- Also covers Evaluation & Observability, LLM Frameworks.
- knowledge-gpt ships Docker support for self-hosted deployment.
- When you need a flexible, model-agnostic approach for Q&A over diverse data sources
When NOT to use knowledge-gpt
- Avoid if strictly needing real-time response performance without indexing capabilities
- Not recommended if focusing solely on visual or multimedia content extraction
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Future-House/paper-qa) · observed Aug 18, 2026
- GitHub forks (Future-House/paper-qa) · observed Aug 18, 2026
- Last push (Future-House/paper-qa) · observed Aug 12, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (geeks-of-data/knowledge-gpt) · observed Jul 24, 2026
- GitHub forks (geeks-of-data/knowledge-gpt) · observed Jul 24, 2026
- Last push (geeks-of-data/knowledge-gpt) · observed Apr 25, 2023
- License file (MIT) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: paper-qa 9.0k · knowledge-gpt 291 (synced Aug 18, 2026).
Common questions
- What is the difference between paper-qa and knowledge-gpt?
- paper-qa: High accuracy RAG for answering questions from scientific documents with citations. knowledge-gpt: Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose paper-qa over knowledge-gpt?
- Choose paper-qa over knowledge-gpt when License: paper-qa is Apache-2.0, knowledge-gpt is MIT; Requirements: Min 4 GB RAM; Tags unique to paper-qa: ai, rag, science, search; Your project specifically requires processing and querying scientific documents, as PaperQA2 offers specialized capabilities tuned for this domain.
- When should I choose knowledge-gpt over paper-qa?
- Choose knowledge-gpt over paper-qa when License: knowledge-gpt is MIT, paper-qa is Apache-2.0; Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers; Also covers Evaluation & Observability, LLM Frameworks; knowledge-gpt ships Docker support for self-hosted deployment; When you need a flexible, model-agnostic approach for Q&A over diverse data sources.
- When should I avoid paper-qa?
- If your use case does not involve scientific document processing, another RAG system better suited to your specific type of documents (e.g., legal, medical) might be more fitting. In scenarios where real-time performance is critical and extensive indexing or access to external APIs for large-scale paper handling becomes a bottleneck.
- When should I avoid knowledge-gpt?
- Avoid if strictly needing real-time response performance without indexing capabilities Not recommended if focusing solely on visual or multimedia content extraction
- Is paper-qa or knowledge-gpt more popular on GitHub?
- paper-qa has more GitHub stars (9,048 vs 291). Stars measure visibility, not whether either tool fits your constraints.
- Are paper-qa and knowledge-gpt open source?
- Yes - both are open-source projects on GitHub (paper-qa: Apache-2.0, knowledge-gpt: MIT).
- Where can I find alternatives to paper-qa or knowledge-gpt?
- GraphCanon lists graph-backed alternatives at paper-qa alternatives and knowledge-gpt alternatives (paper-qa markdown twin, knowledge-gpt markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, paper-qa or knowledge-gpt?
- paper-qa: Very active. knowledge-gpt: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for paper-qa and knowledge-gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paper-qa trust report; knowledge-gpt trust report.