Comparison
Langchain-Chatchat vs paper-qa
Verdict
Pick Langchain-Chatchat if langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama; 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.
Markdown twin · Langchain-Chatchat alternatives · paper-qa alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | Langchain-Chatchat | paper-qa |
|---|---|---|
| Maintenance | Slowing (270d since push) As of 2w · github_public_v1 | Very active (5d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3d · 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
- Langchain-Chatchat
- Local knowledge-based RAG and Agent app using Langchain and various LLMs
- paper-qa
- High accuracy RAG for answering questions from scientific documents with citations
Stars
- Langchain-Chatchat
- 39k
- paper-qa
- 9.0k
Forks
- Langchain-Chatchat
- 6.3k
- paper-qa
- 907
Open issues
- Langchain-Chatchat
- 25
- paper-qa
- 141
Language
- Langchain-Chatchat
- Python
- paper-qa
- Python
Adopt for
- Langchain-Chatchat
- Langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama.
- paper-qa
- PaperQA2 version 5 is a retrieval-augmented generation (RAG) system optimized for extracting information from scientific documents, enhancing user queries with citations.
Persona
- Langchain-Chatchat
- -
- paper-qa
- -
Runtime
- Langchain-Chatchat
- -
- paper-qa
- -
License
- Langchain-Chatchat
- Apache-2.0
- paper-qa
- 'Apache-2.0' - Permissive free software license that allows for both non-commercial use and commercial exploitation of the package.
Last pushed
- Langchain-Chatchat
- Nov 10, 2025
- paper-qa
- Aug 12, 2026
Categories
- Langchain-Chatchat
- AI Agents, Data & Retrieval, LLM Frameworks
- paper-qa
- Data & Retrieval, Model Training
Trust and health
Maintenance
- Langchain-Chatchat
- Slowing (36%)
- paper-qa
- Very active (96%)
Days since push
- Langchain-Chatchat
- 270d
- paper-qa
- 5d
Open issues (now)
- Langchain-Chatchat
- 25
- paper-qa
- 141
Stars delta
- Langchain-Chatchat
- +254 (30d)
- paper-qa
- +154 (30d)
Open issues delta
- Langchain-Chatchat
- +2 (30d)
- paper-qa
- 0 (30d)
Full report
- Langchain-Chatchat
- Trust report
- paper-qa
- Trust report
Typed relationship
Langchain-Chatchat alternative paper-qapaper-qa
Choose Langchain-Chatchat if…
- Requirements: - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services..
- paper-qa
- Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, langchain.
- Also covers AI Agents, LLM Frameworks.
- - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases.
When NOT to use Langchain-Chatchat
- - If your application requires real-time updates from the internet, as Langchain-Chatchat operates within a closed system without dynamic web retrieval capabilities.
- - In scenarios where deploying through Docker and managing multiple services via docker-compose might be too complex or not feasible for your operational setup.
Choose paper-qa if…
- Requirements: Min 4 GB RAM.
- paper-qa
- Tags unique to paper-qa: ai, science, search.
- Also covers Model Training.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (chatchat-space/Langchain-Chatchat) · observed Aug 7, 2026
- GitHub forks (chatchat-space/Langchain-Chatchat) · observed Aug 7, 2026
- Last push (chatchat-space/Langchain-Chatchat) · observed Nov 10, 2025
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: Langchain-Chatchat 39k · paper-qa 9.0k (synced Aug 7, 2026).
Common questions
- What is the difference between Langchain-Chatchat and paper-qa?
- Langchain-Chatchat: Local knowledge-based RAG and Agent app using Langchain and various LLMs. paper-qa: High accuracy RAG for answering questions from scientific documents with citations. See the comparison table for live GitHub stats and shared categories.
- When should I choose Langchain-Chatchat over paper-qa?
- Choose Langchain-Chatchat over paper-qa when Requirements: - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services.; paper-qa; Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, langchain; Also covers AI Agents, LLM Frameworks; - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases.
- When should I choose paper-qa over Langchain-Chatchat?
- Choose paper-qa over Langchain-Chatchat when Requirements: Min 4 GB RAM; paper-qa; Tags unique to paper-qa: ai, science, search; Also covers Model Training; Your project specifically requires processing and querying scientific documents, as PaperQA2 offers specialized capabilities tuned for this domain.
- When should I avoid Langchain-Chatchat?
- - If your application requires real-time updates from the internet, as Langchain-Chatchat operates within a closed system without dynamic web retrieval capabilities. - In scenarios where deploying through Docker and managing multiple services via docker-compose might be too complex or not feasible for your operational setup.
- 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.
- Is Langchain-Chatchat or paper-qa more popular on GitHub?
- Langchain-Chatchat has more GitHub stars (38,522 vs 9,048). Stars measure visibility, not whether either tool fits your constraints.
- Are Langchain-Chatchat and paper-qa open source?
- Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, paper-qa: Apache-2.0).
- Where can I find alternatives to Langchain-Chatchat or paper-qa?
- GraphCanon lists graph-backed alternatives at Langchain-Chatchat alternatives and paper-qa alternatives (Langchain-Chatchat markdown twin, paper-qa 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, Langchain-Chatchat or paper-qa?
- Langchain-Chatchat: Slowing. paper-qa: Very active. 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 Langchain-Chatchat and paper-qa?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Langchain-Chatchat trust report; paper-qa trust report.