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Air-Gapped Multimodal RAG
Deployment Metric & Performance
โก Sub-second RAG search, 100% offline air-gapped deployment
Data & Systems Pipeline
CUDA 12.4 โ Cyclops-VL โ PyMuPDF โ ChromaDB โ FastAPI
Year
2024
Tech & Systems Architecture
FastAPICUDACyclops-VL 2.0ChromaDBDockerPythonStreamlit
Systems Overview
Zentro 2.0 is an enterprise-grade, air-gapped multimodal AI platform architected for secure offline document intelligence and semantic search in zero-trust network environments.
Key Engineering Highlights:
Key Engineering Highlights:
- ๐ง CUDA Hardware Acceleration: Native Cyclops-VL 2.0 multimodal model inference accelerated on local GPU hardware for real-time visual and linguistic comprehension.
- ๐ Deep Document Parsing: High-throughput PDF and document extraction pipeline powered by PyMuPDF.
- ๐ Sub-Second Semantic Retrieval: ChromaDB vector store indexing embeddings with custom RAG ranking heuristics.
- ๐ณ 100% Air-Gapped & Containerized: Zero external cloud telemetry or third-party API dependencies, packaged for instant single-command Docker deployment.
Engineering Role & Execution
Forward Deployed Systems Engineer
- โ Engineered high-throughput FastAPI backend handling parallel multimodal inference workflows
- โก Optimized local GPU memory footprint and batching for edge/workstation deployments
- ๐ Designed and benchmarked ChromaDB semantic retrieval pipeline achieving sub-second query latency
- ๐ณ Built multi-stage Docker build reducing final deployment footprint by 40%