Är Ragflow säker?

Ragflow — Nerq Förtroendepoäng 75.0/100 (Betyg B). Baserat på analys av 5 tillitsdimensioner bedöms det som generellt säkert men med vissa farhågor. Senast uppdaterad: 2026-04-05.

Ja, Ragflow är säker att använda. Ragflow är en software tool med ett Nerq-förtroendepoäng på 75.0/100 (B), baserat på 5 oberoende datadimensioner. It is rekommenderas för användning. Säkerhet: 0/100. Underhåll: 1/100. Popularitet: 0/100. Data hämtad från multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Senast uppdaterad: 2026-04-05. Maskinläsbar data (JSON).

Är Ragflow säker?

JA — Ragflow har ett Nerq-förtroendepoäng på 75.0/100 (B). Uppfyller Nerqs förtroendetröskel med starka signaler inom säkerhet, underhåll och communityanvändning. Rekommenderas för användning — se hela rapporten nedan för specifika överväganden.

Säkerhetsanalys → {name} integritetsrapport →

Vad är Ragflows förtroendepoäng?

Ragflow har ett Nerq-förtroendepoäng på 75.0/100 med betyget B. Denna poäng baseras på 5 oberoende mätta dimensioner inklusive säkerhet, underhåll och communityanvändning.

Säkerhet
0
Regelefterlevnad
100
Underhåll
1
Dokumentation
1
Popularitet
0

Vilka är de viktigaste säkerhetsresultaten för Ragflow?

Ragflows starkaste signal är regelefterlevnad på 100/100. Inga kända sårbarheter har upptäckts. Uppfyller Nerqs verifieringströskel på 70+.

Säkerhet score: 0/100 (weak)
Underhåll: 1/100 — låg underhållsaktivitet
Compliance: 100/100 — covers 52 of 52 jurisdiktions
Documentation: 1/100 — begränsad dokumentation
Popularitet: 0/100 — communityanvändning

Vad är Ragflow och vem underhåller det?

Utvecklaresqlchan
Kategoricoding
Källahttps://github.com/sqlchan/ragflow
Frameworksopenai · anthropic · ollama
Protocolsmcp · rest

Regelefterlevnad

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdiktionsAssessed across 52 jurisdiktions

Populära alternativ inom coding

Significant-Gravitas/AutoGPT
74.7/100 · B
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x1xhlol/system-prompts-and-models-of-ai-tools
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What Is Ragflow?

Ragflow is a software tool in the coding category: RAGFlow is an open-source RAG engine with agent features.. Nerq Förtroendepoäng: 75/100 (B).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including säkerhet vulnerabilities, underhåll activity, license regelefterlevnad, and communityanvändning.

How Nerq Assesses Ragflow's Safety

Nerq's Förtroendepoäng is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Ragflow performs in each:

The overall Förtroendepoäng of 75.0/100 (B) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.

Who Should Use Ragflow?

Ragflow is designed for:

Risk guidance: Ragflow meets the minimum threshold for production use, but we recommend monitoring for säkerhet advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.

How to Verify Ragflow's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Granska repository's säkerhet policy, open issues, and recent commits for signs of active underhåll.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for kända sårbarheter in Ragflow's dependency tree.
  3. Recension permissions — Understand what access Ragflow requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Ragflow in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=ragflow
  6. Granska license — Confirm that Ragflow's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses säkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Ragflow

When evaluating whether Ragflow is safe, consider these category-specific risks:

Data handling

Understand how Ragflow processes, stores, and transmits your data. Granska tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency säkerhet

Check Ragflow's dependency tree for kända sårbarheter. Tools with outdated or unmaintained dependencies pose a higher säkerhet risk.

Update frequency

Regularly check for updates to Ragflow. Säkerhet patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Ragflow connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.

License and IP regelefterlevnad

Verify that Ragflow's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ragflow in violation of its license can expose your organization to legal liability.

Ragflow and the EU AI Act

Ragflow is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.

Nerq's regelefterlevnad assessment covers 52 jurisdiktions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal regelefterlevnad.

Best Practices for Using Ragflow Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ragflow while minimizing risk:

Conduct regular audits

Periodically review how Ragflow is used in your workflow. Check for unexpected behavior, permissions drift, and regelefterlevnad with your säkerhet policies.

Keep dependencies updated

Ensure Ragflow and all its dependencies are running the latest stable versions to benefit from säkerhet patches.

Follow least privilege

Grant Ragflow only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for säkerhet advisories

Subscribe to Ragflow's säkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Ragflow is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Ragflow?

Even well-trusted tools aren't right for every situation. Consider avoiding Ragflow in these scenarios:

förtroendepoängen för

For each scenario, evaluate whether Ragflow är 75.0/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.

How Ragflow Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Förtroendepoäng is 62/100. Ragflow's score of 75.0/100 is significantly above the category average of 62/100.

This places Ragflow in the top tier of coding tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature säkerhet practices, consistent release cadence, and broad communityanvändning.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks måttlig in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Förtroendepoäng History

Nerq continuously monitors Ragflow and recalculates its Förtroendepoäng as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or underhåll patterns change, Ragflow's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to säkerhet and quality. Conversely, a downward trend may signal reduced underhåll, growing technical debt, or unresolved vulnerabilities. To track Ragflow's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ragflow&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — säkerhet, underhåll, dokumentation, regelefterlevnad, and community — has evolved independently, providing granular visibility into which aspects of Ragflow are strengthening or weakening over time.

Ragflow vs Alternativ

In the coding category, Ragflow scores 75.0/100. It ranks among the top tools in its category. For a detailed comparison, see:

Viktigaste slutsatser

Vanliga frågor

Är Ragflow säker att använda?
Ja, det är säkert att använda. ragflow har ett Nerq-förtroendepoäng på 75.0/100 (B). Starkaste signalen: regelefterlevnad (100/100). Poäng baserad på säkerhet (0/100), underhåll (1/100), popularitet (0/100), dokumentation (1/100).
Vad är Ragflow's trust score?
ragflow: 75.0/100 (B). Poäng baserad på: säkerhet (0/100), underhåll (1/100), popularitet (0/100), dokumentation (1/100). Compliance: 100/100. Poäng uppdateras när ny data finns tillgänglig. API: GET nerq.ai/v1/preflight?target=ragflow
Vilka säkrare alternativ finns till Ragflow?
In the coding category, högre betygsatta alternativ inkluderar Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). ragflow scores 75.0/100.
How often is Ragflow's safety score updated?
Nerq continuously monitors Ragflow and updates its trust score as new data becomes available. Data hämtad från multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 75.0/100 (B), last verifierad 2026-04-05. API: GET nerq.ai/v1/preflight?target=ragflow
Kan jag använda Ragflow i en reglerad miljö?
Yes — Ragflow meets the Nerq Verified threshold (70+). Combine this with your internal säkerhet review for regulated deployments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerqs förtroendepoäng är automatiserade bedömningar baserade på offentligt tillgängliga signaler. De utgör inte rekommendationer eller garantier. Gör alltid din egen verifiering.

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