Home/Compare/airflow vs ragflow

Comparison

airflow vs ragflow

Verdict

Pick airflow when airflow is primarily Python; ragflow is Go; pick ragflow when ragflow is primarily Go; airflow is Python.

Markdown twin · airflow alternatives · ragflow alternatives

GraphCanon updated today

airflow logo

airflow

apache/airflow

46kpushed Jul 15, 2026
vs
ragflow logo

ragflow

infiniflow/ragflow

85kpushed Jul 11, 2026

Trust & integrity

Signalairflowragflow
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 3d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
Published findings
As of 4d · 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

airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
ragflow
Retrieval-Augmented Generation engine with agent capabilities

Stars

airflow
46k
ragflow
85k

Forks

airflow
17k
ragflow
9.9k

Open issues

airflow
1.7k
ragflow
2.3k

Language

airflow
Python
ragflow
Go

Adopt for

airflow
-
ragflow
RAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license.

Persona

airflow
-
ragflow
-

Runtime

airflow
-
ragflow
-

License

airflow
Apache-2.0
ragflow
Apache-2.0 License

Last pushed

airflow
Jul 15, 2026
ragflow
Jul 11, 2026

Categories

airflow
AI Agents, Computer Vision, Data & Retrieval
ragflow
AI Agents, Data & Retrieval

Trust and health

Open issues (now)

airflow
1.7k
ragflow
2.3k

OSV dependency advisories

airflow
No lockfile (source not queried)
ragflow
Published findings

Full report

Choose airflow if…

  • airflow is primarily Python; ragflow is Go.
  • Tags unique to airflow: airflow, apache, apache-airflow, automation.
  • Also covers Computer Vision.

When NOT to use airflow

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

Choose ragflow if…

  • ragflow is primarily Go; airflow is Python.
  • Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services..
  • Tags unique to ragflow: agentic-ai, context-management, rag, retrieval-augmented-generation.
  • - You need an integrated RAG system with AI agent capabilities for better context management in your applications.

When NOT to use ragflow

  • - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go.
  • - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB).
  • - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: airflow 46k · ragflow 85k (synced Jul 15, 2026).

Common questions

What is the difference between airflow and ragflow?
airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. ragflow: Retrieval-Augmented Generation engine with agent capabilities. See the comparison table for live GitHub stats and shared categories.
When should I choose airflow over ragflow?
Choose airflow over ragflow when airflow is primarily Python; ragflow is Go; Tags unique to airflow: airflow, apache, apache-airflow, automation; Also covers Computer Vision.
When should I choose ragflow over airflow?
Choose ragflow over airflow when ragflow is primarily Go; airflow is Python; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Tags unique to ragflow: agentic-ai, context-management, rag, retrieval-augmented-generation; - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
When should I avoid airflow?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
When should I avoid ragflow?
- If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.
Is airflow or ragflow more popular on GitHub?
ragflow has more GitHub stars (84,818 vs 46,124). Stars measure visibility, not whether either tool fits your constraints.
Are airflow and ragflow open source?
Yes - both are open-source projects on GitHub (airflow: Apache-2.0, ragflow: Apache-2.0).
Where can I find alternatives to airflow or ragflow?
GraphCanon lists graph-backed alternatives at airflow alternatives and ragflow alternatives (airflow 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, airflow or ragflow?
airflow: Very active. 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 airflow and ragflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airflow trust report; ragflow trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.