RA
superlinear-ai/raglite
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
1.2k 101 +0/wk
GitHub
chainlit colbert duckdb evals late-chunking late-interaction llm markdown pdf pgvector postgres postgresql
Trend
0
Star & Fork Trend (30 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
superlinear-ai/raglite has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | raglite | LLaMA-Mesh | PPLM | nncf |
|---|---|---|---|---|
| Stars | 1.2k | 1.1k | 1.2k | 1.1k |
| Forks | 101 | 78 | 204 | 295 |
| Weekly Growth | +0 | -1 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MPL-2.0 | NOASSERTION | Apache-2.0 | Apache-2.0 |
Capability Radar vs LLaMA-Mesh
raglite
LLaMA-Mesh
Maintenance Activity 91
Last code push 22 days ago.
Community Engagement 44
Fork-to-star ratio: 8.8%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 70
Licensed under MPL-2.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.