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.
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।
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+.
Ragflow क्या है और इसका रखरखाव कौन करता है?
| डेवलपर | infiniflow |
| श्रेणी | Infrastructure |
| स्टार्स | 73,683 |
| स्रोत | https://github.com/infiniflow/ragflow |
| Frameworks | openai · anthropic · ollama |
| Protocols | mcp · rest |
नियामक अनुपालन
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
infrastructure में लोकप्रिय विकल्प
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
Strongest: Compliance (100/100). Weakest: Documentation (1/100).
How to Improve This Score
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:
- सुरक्षा (1/100): Ragflow's सुरक्षा posture is poor. This score factors in known CVEs, dependency vulnerabilities, सुरक्षा policy presence, and code signing practices.
- रखरखाव (1/100): Ragflow is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API दस्तावेज़ीकरण, usage examples, and contribution guidelines.
- Compliance (100/100): Ragflow is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. आधारित GitHub stars, forks, download counts, and ecosystem integrations.
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:
- Developers and teams working with infrastructure tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
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:
- Check the source code — जांचें repository's सुरक्षा policy, open issues, and recent commits for signs of active रखरखाव.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Ragflow's dependency tree. - समीक्षा permissions — Understand what access Ragflow requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ragflow in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=infiniflow/ragflow - 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.
- 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:
Understand how Ragflow processes, stores, and transmits your data. जांचें tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ragflow's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher सुरक्षा risk.
Regularly check for updates to Ragflow. सुरक्षा patches and bug fixes are only effective if you're running the latest version.
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.
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:
Periodically review how Ragflow is used in your workflow. Check for unexpected behavior, permissions drift, and अनुपालन with your सुरक्षा policies.
Ensure Ragflow and all its dependencies are running the latest stable versions to benefit from सुरक्षा patches.
Grant Ragflow only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ragflow's सुरक्षा advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
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:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional अनुपालन review
- Mission-critical systems where downtime has significant business impact
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:
- Ragflow vs n8n — Trust Score: 52.2/100
- Ragflow vs langflow — Trust Score: 66.1/100
- Ragflow vs dify — Trust Score: 65.5/100
मुख्य निष्कर्ष
- Ragflow has a Trust Score of 67.4/100 (B-) and is not yet Nerq Verified.
- Ragflow shows मध्यम trust signals. Conduct thorough due diligence before deploying to production environments.
- Among infrastructure tools, Ragflow scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
विस्तृत स्कोर विश्लेषण
| Dimension | Score |
|---|---|
| सुरक्षा | 1/100 |
| रखरखाव | 1/100 |
| लोकप्रियता | 1/100 |
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.
अक्सर पूछे जाने वाले प्रश्न
क्या Ragflow सुरक्षित है?
Ragflow का विश्वास स्कोर क्या है?
Ragflow के अधिक सुरक्षित विकल्प क्या हैं?
Ragflow का सुरक्षा स्कोर कितनी बार अपडेट होता है?
क्या मैं विनियमित वातावरण में Ragflow उपयोग कर सकता हूँ?
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।