ragflow

Name: ragflow
Rating: 4.15 (1 reviews)
Author: infiniflow

#97 · by infiniflow

agent tool-use multi-step

4.15/ 5.00

trustedBeta

Mar 5, 2026 at 7:04 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

high23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

2 of 3 sub-signals with data

Known CVEs57%5.0

No known CVEs

via OSV.dev

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chain43%4.9

3 transitive CVEs found (penalty: -0.09)

via npm provenance

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 3 checks

via Health checks

Response Latency25%5.0

p99: 17ms, p50: 17ms

via Health checks

Error Rate20%1.0

33.33% error rate (1/3)

via Health checks

Incident History20%3.0

3 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

4 of 4 sub-signals with data

Commit Recency30%5.0

via GitHub

Release Cadence25%4.0

via GitHub

Issue Response20%1.0

via GitHub

CI/CD Presence25%5.0

via GitHub Actions

Downloads, stars, dependents, and growth trajectory

2 of 4 sub-signals with data

Download Volume55%1.0

57 weekly downloads

via npm / PyPI

GitHub Stars45%5.0

73,938 stars

via GitHub

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trendno data—

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%5.0

Public repo with OSI-approved license (apache-2.0)

via GitHub

Documentation25%5.0

Docs site present with comprehensive README (>2000 bytes + examples)

via GitHub

Security Policy20%5.0

SECURITY.md present

via GitHub

Changelog25%4.0

Releases exist but no CHANGELOG.md

via GitHub

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%4.5

Internal: 1.0 (0 services), External: 4.5 (1067 followers, 78444 stars)

via Fabric index

Org Maturity30%5.0

Organization, 5.5 years old

via GitHub

Community Standing20%3.0

10 public repositories

via GitHub

Cross-Platform20%3.0

Present on 2 platform(s): github, pypi

via Registry scan

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

RAGFlow is an open-source RAG engine published by infiniflow under Apache-2.0 license, designed to enhance LLM context through retrieval-augmented generation with agent capabilities. The service shows no known vulnerabilities and maintains consistent operational uptime with transparent development practices. Adoption remains limited with only 57 weekly downloads, indicating the project is still in early community growth despite solid technical foundations.

Generated by Fabric AI · Mar 4, 2026 at 4:10 AM

Package Availability (30d)

100.00%

p50: 17ms · p99: 17ms

Avg Latency

17ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Incidents & Alertslast 90 days

Mar 1Trust score increased by 0.924.16