zilliztech/akcio
Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.
Star & Fork Trend (20 data points)
Multi-Source Signals
Growth Velocity
zilliztech/akcio has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | akcio | GPTInterviewer | ai-system-design-guide | x402-openai-python |
|---|---|---|---|---|
| Stars | 259 | 259 | 258 | 260 |
| Forks | 40 | 124 | 69 | 27 |
| Weekly Growth | +0 | +0 | +1 | +0 |
| Language | Python | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | N/A | MIT |
Capability Radar vs GPTInterviewer
Last code push 871 days ago.
Fork-to-star ratio: 15.4%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.