Vantage Engine (V-AI) 🚀

The Fastest Long-Context Retrieval Infrastructure for AI Agents

Vantage is a high-performance, proprietary retrieval system developed by Nguyen Vo Anh Khoa (15yo Founder of Nexus VN). It is specifically engineered to handle massive context windows (128K - 10M+ tokens) with near-zero latency on standard CPU hardware.

📊 Performance Metrics

Validated results on a standard 12-core x86 CPU:

• Throughput: ~82.17 Million Tokens / Second
• Accuracy: 100.00% (RULER NIAH Benchmark)
• Space Complexity: O(1) - Constant memory footprint regardless of context length.
• Latency: < 0.15s for 10M tokens scanning.

🏗️ Architecture

Vantage utilizes a Zero-Cost Streaming Architecture. Unlike traditional Transformer-based RAG which suffers from $O(n^2)$ or $O(n)$ KV-cache bottlenecks, Vantage processes data in a single-pass streaming flow with early-exit optimization.

📁 Repository Structure

• core/: Proprietary engine logic and search protocols.
• benchmarks/: Performance audit scripts (RULER & Stress Tests).
• results/: Official performance reports and validation logs.

⚖️ License

Proprietary Software. All Rights Reserved by Nguyen Vo Anh Khoa (Nexus VN).