क्या Ragflow सुरक्षित है?

Ragflow — Nerq Trust Score 67.4/100 (B- ग्रेड). 5 विश्वास आयामों के विश्लेषण के आधार पर, इसे आम तौर पर सुरक्षित लेकिन कुछ चिंताएं हैं माना जाता है। अंतिम अपडेट: 2026-05-01।

Ragflow का उपयोग सावधानी से करें। Ragflow एक software tool है Nerq विश्वास स्कोर के साथ 67.4/100 (B-), based on 5 स्वतंत्र डेटा आयाम. Nerq सत्यापित सीमा से नीचे सुरक्षा: 1/100. रखरखाव: 1/100. लोकप्रियता: 1/100. डेटा स्रोत: पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत. अंतिम अपडेट: 2026-05-01. मशीन पठनीय डेटा (JSON).

क्या Ragflow सुरक्षित है?

CAUTION — Ragflow has a Nerq Trust Score of 67.4/100 (B-). मध्यम विश्वास संकेत हैं, लेकिन कुछ चिंताजनक क्षेत्र भी हैं that warrant attention. Suitable for development use — review सुरक्षा and रखरखाव signals before production deployment.

सुरक्षा विश्लेषण → Ragflow गोपनीयता रिपोर्ट →

Ragflow का विश्वास स्कोर क्या है?

Ragflow का Nerq Trust Score 67.4/100 है, ग्रेड B-। यह स्कोर सुरक्षा, रखरखाव और सामुदायिक अपनाने सहित 5 स्वतंत्र रूप से मापे गए आयामों पर आधारित है।

सुरक्षा
1
अनुपालन
100
रखरखाव
1
दस्तावेज़ीकरण
1
लोकप्रियता
1

Ragflow के प्रमुख सुरक्षा निष्कर्ष क्या हैं?

Ragflow का सबसे मजबूत संकेत अनुपालन है 100/100 पर। कोई ज्ञात भेद्यता नहीं पाई गई। It has not yet reached the Nerq Verified threshold of 70+.

सुरक्षा स्कोर: 1/100 (कमजोर)
रखरखाव: 1/100 — कम रखरखाव गतिविधि
अनुपालन: 100/100 — covers 52 of 52 jurisdictions
दस्तावेज़ीकरण: 1/100 — सीमित प्रलेखन
लोकप्रियता: 1/100 — 73,683 स्टार्स github

Ragflow क्या है और इसका रखरखाव कौन करता है?

डेवलपरinfiniflow
श्रेणीInfrastructure
स्टार्स73,683
स्रोतhttps://github.com/infiniflow/ragflow
Frameworksopenai · anthropic · ollama
Protocolsmcp · rest

नियामक अनुपालन

EU AI Act Risk ClassNot assessed
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

infrastructure में लोकप्रिय विकल्प

n8n-io/n8n
52.2/100 · C-
github
langflow-ai/langflow
66.1/100 · B-
github
langgenius/dify
65.5/100 · B-
github
open-webui/open-webui
61.2/100 · C+
github
google-gemini/gemini-cli
71.8/100 · B
github

Deep Analysis: infiniflow/ragflow

Executive Summary

infiniflow/ragflow is a infrastructure tool Nerq विश्वास स्कोर के साथ 67.4/100 (B-). No known vulnerabilities. 73,683 GitHub stars. RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

सुरक्षा

No known CVEs. infiniflow/ragflow has a clean सुरक्षा record in the Nerq database.

रखरखाव Health

  • GitHub stars: 73,683
  • Activity score: 1/100

Ecosystem Position

  • Compatible frameworks: haystack, openai

Cost Analysis

  • Cost per code_review: $0.0300
  • Cost per code_generation: $0.0450
  • Cost per chat_response: $0.0075
  • Cost per document_analysis: $0.0450
  • Cost per data_extraction: $0.0225

विश्वास स्कोर विवरण

सुरक्षा1/100
Compliance100/100
रखरखाव1/100
Documentation1/100
Community1/100

Strongest: Compliance (100/100). Weakest: Documentation (1/100).

How to Improve This Score

Improve सुरक्षा practices
Add सुरक्षा policy, fix known vulnerabilities, enable dependency scanning.
Estimated impact: +5-15 points
Increase रखरखाव activity
Respond to issues, merge PRs, publish regular releases.
Estimated impact: +5-10 points
Improve दस्तावेज़ीकरण
Add API docs, usage examples, contribution guidelines.
Estimated impact: +5-10 points

अक्सर पूछे जाने वाले प्रश्न

क्या ragflow safe to use in production?

Caution advised. ragflow has a Nerq Trust Score of 67.4/100 (B-). This is below the Nerq Verified threshold of 70. Consider alternatives or perform additional due diligence.

Does ragflow have any known vulnerabilities?

As of May 2026, ragflow has no known CVEs in the Nerq database.

What license does ragflow use?

License information is not yet available in the Nerq database.

How does ragflow compare to alternatives?

In the infrastructure category, ragflow scores 67.4/100. Use the Nerq comparison API to compare directly: curl nerq.ai/v1/compare/ragflow/vs/[alternative]

How often is ragflow updated?

Check the रखरखाव health section above for the latest activity data. Nerq tracks commit frequency, release cadence, and issue response times.

What Is Ragflow?

Ragflow is a software tool in the infrastructure category: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs. It has 73,683 GitHub stars. Nerq Trust Score: 67/100 (B-).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including सुरक्षा vulnerabilities, रखरखाव activity, license अनुपालन, and सामुदायिक स्वीकृति.

How Nerq Assesses Ragflow's Safety

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

The overall Trust Score of 67.4/100 (B-) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Who Should Use Ragflow?

Ragflow is designed for:

Risk guidance: Ragflow is suitable for development and testing environments. Before production deployment, conduct a thorough review of its सुरक्षा posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

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 — जांचें repository's सुरक्षा policy, open issues, and recent commits for signs of active रखरखाव.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Ragflow's dependency tree.
  3. समीक्षा 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=infiniflow/ragflow
  6. जांचें 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 सुरक्षा 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. जांचें tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency सुरक्षा

Check Ragflow's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher सुरक्षा risk.

Update frequency

Regularly check for updates to Ragflow. सुरक्षा 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 अनुपालन

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.

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 अनुपालन with your सुरक्षा policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for सुरक्षा advisories

Subscribe to Ragflow's सुरक्षा 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 promising tools aren't right for every situation. Consider avoiding Ragflow in these scenarios:

For each scenario, evaluate whether Ragflow's trust score of 67.4/100 meets your organization's risk tolerance. We recommend running a manual सुरक्षा assessment alongside the automated Nerq score.

How Ragflow Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. Ragflow's score of 67.4/100 is above the category average of 62/100.

This positions Ragflow favorably among infrastructure tools. While it outperforms the average, there is still room for improvement in certain trust आयाम.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks मध्यम 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.

Trust Score History

Nerq continuously monitors Ragflow and recalculates its Trust Score 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 रखरखाव 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 सुरक्षा and quality. Conversely, a downward trend may signal reduced रखरखाव, growing technical debt, or unresolved vulnerabilities. To track Ragflow's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=infiniflow/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 — सुरक्षा, रखरखाव, दस्तावेज़ीकरण, अनुपालन, and community — has evolved independently, providing granular visibility into which aspects of Ragflow are strengthening or weakening over time.

Ragflow vs विकल्प

In the infrastructure category, Ragflow scores 67.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:

मुख्य निष्कर्ष

विस्तृत स्कोर विश्लेषण

DimensionScore
सुरक्षा1/100
रखरखाव1/100
लोकप्रियता1/100

आधारित 3 आयाम. Data from पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत.

Ragflow कौन सा डेटा एकत्र करता है?

गोपनीयता assessment for Ragflow is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

क्या Ragflow सुरक्षित है?

सुरक्षा score: 1/100. Review सुरक्षा practices and consider alternatives with higher सुरक्षा scores for sensitive use cases.

Nerq इस इकाई को NVD, OSV.dev और रजिस्ट्री-विशिष्ट कमजोरी डेटाबेस के विरुद्ध मॉनिटर करता है निरंतर सुरक्षा मूल्यांकन के लिए.

पूर्ण विश्लेषण: Ragflow सुरक्षा रिपोर्ट

हमने इस स्कोर की गणना कैसे की

Ragflow's trust score of 67.4/100 (B-) से गणना की गई है पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत. स्कोर प्रतिबिंबित करता है 3 स्वतंत्र आयाम: सुरक्षा (1/100), रखरखाव (1/100), लोकप्रियता (1/100). समग्र विश्वास स्कोर बनाने के लिए प्रत्येक आयाम को समान भार दिया गया है.

Nerq 26 रजिस्ट्री में 7.5 मिलियन से अधिक इकाइयों का विश्लेषण करता है एक ही कार्यप्रणाली का उपयोग करके, इकाइयों के बीच सीधी तुलना संभव बनाता है. नया डेटा उपलब्ध होने पर स्कोर लगातार अपडेट किए जाते हैं.

इस पेज की अंतिम समीक्षा की गई: May 01, 2026. डेटा संस्करण: 1.0.

पूर्ण कार्यप्रणाली दस्तावेज़ · मशीन पठनीय डेटा (JSON API)

अक्सर पूछे जाने वाले प्रश्न

क्या Ragflow सुरक्षित है?
सावधानी से उपयोग करें। infiniflow/ragflow Nerq विश्वास स्कोर के साथ 67.4/100 (B-). सबसे मजबूत संकेत: अनुपालन (100/100). स्कोर आधारित सुरक्षा (1/100), रखरखाव (1/100), लोकप्रियता (1/100), दस्तावेज़ीकरण (1/100).
Ragflow का विश्वास स्कोर क्या है?
infiniflow/ragflow: 67.4/100 (B-). स्कोर आधारित सुरक्षा (1/100), रखरखाव (1/100), लोकप्रियता (1/100), दस्तावेज़ीकरण (1/100). Compliance: 100/100. नया डेटा उपलब्ध होने पर स्कोर अपडेट होते हैं. API: GET nerq.ai/v1/preflight?target=infiniflow/ragflow
Ragflow के अधिक सुरक्षित विकल्प क्या हैं?
Infrastructure श्रेणी में, higher-rated alternatives include n8n-io/n8n (52/100), langflow-ai/langflow (66/100), langgenius/dify (66/100). infiniflow/ragflow scores 67.4/100.
Ragflow का सुरक्षा स्कोर कितनी बार अपडेट होता है?
Nerq continuously monitors Ragflow and updates its trust score as new data becomes available. Current: 67.4/100 (B-), last सत्यापित 2026-05-01. API: GET nerq.ai/v1/preflight?target=infiniflow/ragflow
क्या मैं विनियमित वातावरण में Ragflow उपयोग कर सकता हूँ?
Ragflow Nerq सत्यापन सीमा 70 तक नहीं पहुँचा। अतिरिक्त समीक्षा अनुशंसित है।
API: /v1/preflight Trust Badge API Docs

यह भी देखें

Disclaimer: Nerq विश्वास स्कोर सार्वजनिक रूप से उपलब्ध संकेतों पर आधारित स्वचालित मूल्यांकन हैं। ये सिफारिश या गारंटी नहीं हैं। हमेशा अपना स्वयं का सत्यापन करें।

हम विश्लेषण और कैशिंग के लिए कुकीज़ का उपयोग करते हैं। गोपनीयता