airweave vs ragflow

Common questions

What is the difference between airweave and ragflow?

airweave: Open-source context retrieval layer for AI agents. ragflow: Retrieval-Augmented Generation (RAG) engine with agent capabilities. See the comparison table for live GitHub stats and shared categories.

When should I choose airweave over ragflow?

Choose airweave over ragflow when airweave is primarily Python; ragflow is Go; License: airweave is MIT, ragflow is Apache-2.0; Requirements: Requires Python for development and deployment.; Both Airweave and RAGFlow focus on retrieval-augmented generation (RAG) for context management in AI agents, but they offer different solutions and implementations; Tags unique to airweave: agent-infrastructure, ai-infrastructure, context-retrieval, data-connectors; When you need a retrieval-augmented generation layer that integrates seamlessly with various data sources and connectors.

When should I choose ragflow over airweave?

Choose ragflow over airweave when ragflow is primarily Go; airweave is Python; License: ragflow is Apache-2.0, airweave is MIT; Both Airweave and RAGFlow focus on retrieval-augmented generation (RAG) for context management in AI agents, but they offer different solutions and implementations; Tags unique to ragflow: agent-harness, agentic-ai, agentic-retrieval, agentic-search; ragflow ships Docker support for self-hosted deployment; When you need an open-source RAG engine that can integrate with external LLM and embedding services to enhance context management.

When should I avoid airweave?

If your project does not require integration with multiple data sources or connectors, as Airweave's strength lies in its extensive integration capabilities. When you are looking for a tool that focuses solely on the development of AI agents without the retrieval-augmented generation aspect.

When should I avoid ragflow?

If your project does not require integration with external LLM and embedding services, as RAGFlow relies on these services. If you are looking for a lightweight solution, as RAGFlow's Docker image is approximately 2 GB in size. When you prefer tools that do not require building a Docker image, as RAGFlow's setup involves creating a Docker image.

Is airweave or ragflow more popular on GitHub?

ragflow has more GitHub stars (90,923 vs 6,563). Stars measure visibility, not whether either tool fits your constraints.

Are airweave and ragflow open source?

Yes - both are open-source projects on GitHub (airweave: MIT, ragflow: Apache-2.0).

Where can I find alternatives to airweave or ragflow?

GraphCanon lists graph-backed alternatives at airweave alternatives and ragflow alternatives (airweave markdown twin, ragflow 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, airweave or ragflow?

airweave: Archived. ragflow: 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 airweave and ragflow?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airweave trust report; ragflow trust report.