73
/100
B
◉ Complete 5⁄4
flexible-graphrag
Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, REST API, MCP Server. Please 🌟 Star
Docker
Elasticsearch
Links:
Complete visibility
— 5/4 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
76
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
60
25% weight
Security Hygiene
95
33% weight
Schema Interpretability
97
15% weight
Score History
Category Trends
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 60 | Fair |
| Description Quality | 100 | Good |
| Documentation Coverage | 72 | Good |
| Maintenance Pulse | 65 | Fair |
| Dependency Health | 30 | Poor |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 1 month ago
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