SYSTEM STATUS
• ONLINE
Core Architecture Active
EDGE PERFORMANCE
< 18ms Latency SLA
AI Solutions • Client: Synthetix Global Labs
Synthetix AI — Enterprise Vector Intelligence Pipeline
Private on-premise Retrieval-Augmented Generation (RAG) platform indexing 1.2M legal and engineering documents with zero external cloud leakage.
Verified Production Case
Measured Impact
Enterprise Tech Stack
01. The Challenge
Strict data privacy regulations prohibited sending proprietary intellectual property to commercial third-party LLMs.
02. The Solution & Architecture
Built an on-premise pipeline utilizing quantized open-source models (Llama 3 70B) orchestrated on local GPUs with Milvus vector search and a Laravel administration portal.
03. Quantifiable Results & Impact
Strict compliance achieved, search retrieval speeds reduced from 45 minutes to 1.8 seconds, and zero recurring cloud token fees.
Technologies & Frameworks Utilized
Python 3.11
Llama 3
vLLM
Milvus
Laravel 11
Docker