GraphRAG vs Semantica
Side-by-side comparison of two AI agent tools
Short answer
- Semantica is growing faster: +520 GitHub stars in the last 30 days vs +160 for GraphRAG.
- Pick GraphRAG for: a modular graph-based Retrieval-Augmented Generation (RAG) system. Pick Semantica for: graph-Native Infrastructure for Context and Accountable AI Systems.
From GitHub data refreshed daily.
G
GraphRAGopen-source
A modular graph-based Retrieval-Augmented Generation (RAG) system
S
Semanticaopen-source
Graph-Native Infrastructure for Context and Accountable AI Systems
Metrics
| GraphRAG | Semantica | |
|---|---|---|
| Stars | 36.2k | 13.6k |
| Star velocity /mo | 160 | 520 |
| Commits (90d) | 27 | 1.1k |
| Releases (6m) | 5 | 9 |
| Downloads (30d, npm + PyPI) | — | 14.8K |
| Overall score | 0.5661979283552458 | 0.791939793531921 |
FAQ
- Which is more popular, GraphRAG or Semantica?
- GraphRAG has more GitHub stars (36,194 vs 13,626).
- Which is more actively developed, GraphRAG or Semantica?
- Semantica had more commits in the last 90 days (1,149 vs 27).
- Should I use GraphRAG or Semantica?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.