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; Supports multiple document types like PDFs, text files, Microsoft Office documents, and source code.; Requires a setup for various document indexing and handling.; 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: science, search, ai; - You require precise and high-quality responses from scientific literature.

When should I choose graphrag over paper-qa?

Choose graphrag over paper-qa when License: graphrag is MIT, paper-qa is Apache-2.0; 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: llm, gpt-4, gpt, graph-based rag system; Also covers Model Training; - When you need to extract structured information from narrative or private data using LLMs and require a modular, graph-based system. - For projects that involve handling sensitive datasets where the.

When should I avoid paper-qa?

- You are working in a domain beyond scientific literature where the emphasis on accuracy for scientific tasks is less critical. - If you need features not covered by PaperQA2 such as real-time data retrieval or analysis from non-scientific documents, look elsewhere. - For users who require open-source options and prefer licenses other than Apache-2.0.

When should I avoid graphrag?

- Avoid GraphRAG if your project requires minimal setup and cost since GraphRAG's indexing process can be resource-intensive. - Not recommended for scenarios with extremely large datasets or when low latency is critical as this tool may pose significant computational demands.

Is paper-qa or graphrag more popular on GitHub?

graphrag has more GitHub stars (34,249 vs 8,837). 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 /tools/future-house-paper-qa/alternatives and /tools/microsoft-graphrag/alternatives (/tools/future-house-paper-qa/alternatives.md, /tools/microsoft-graphrag/alternatives.md), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at /compare/future-house-paper-qa-vs-microsoft-graphrag.md 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: Active. graphrag: 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: /tools/future-house-paper-qa/trust; graphrag: /tools/microsoft-graphrag/trust.