paper-qa vs graphrag

Common questions

What is the difference between paper-qa and graphrag?

paper-qa: High accuracy RAG for answering questions from scientific documents with citations. graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system. See the comparison table for live GitHub stats and shared categories.

When should I choose paper-qa over graphrag?

Choose paper-qa over graphrag when License: paper-qa is Apache-2.0, graphrag is MIT; Requirements: Min 4 GB RAM; PaperQA2 and GraphRAG both serve as modular systems for RAG, focusing on retrieval from structured sources to enhance machine learning models; 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 choose graphrag over paper-qa?

Choose graphrag over paper-qa when License: graphrag is MIT, paper-qa is Apache-2.0; Pricing: Free to use under the MIT License, but users should be aware of potential costs associated with indexing operations.; Requirements: Min 8 GB RAM; GraphRAG is a Python-based system and requires a Python environment.; Users should fine-tune their prompts for the best results.; PaperQA2 and GraphRAG both serve as modular systems for RAG, focusing on retrieval from structured sources to enhance machine learning models; Tags unique to graphrag: gpt, gpt-4, gpt4, graphrag; Also covers LLM Frameworks; When you need to extract meaningful, structured data from unstructured text using the power of LLMs.

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 graphrag?

If you require a tool that is actively developed and accepts new features or contributions, as GraphRAG is largely in maintenance mode. When cost is a significant concern, as GraphRAG indexing can be an expensive operation. If you need a production-ready, officially supported solution, as GraphRAG is a research project and not an officially supported Microsoft offering.

Is paper-qa or graphrag more popular on GitHub?

graphrag has more GitHub stars (36,025 vs 9,048). Stars measure visibility, not whether either tool fits your constraints.

Are paper-qa and graphrag open source?

Yes - both are open-source projects on GitHub (paper-qa: Apache-2.0, graphrag: MIT).

Where can I find alternatives to paper-qa or graphrag?

GraphCanon lists graph-backed alternatives at paper-qa alternatives and graphrag alternatives (paper-qa markdown twin, graphrag 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 graphrag?

paper-qa: Very active. graphrag: 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 paper-qa and graphrag?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paper-qa trust report; graphrag trust report.