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RAG Pipeline
// overview
Designed and deployed a RAG system inside an air-gapped corporate network with zero internet access. The system serves internal engineering teams, answering questions about manufacturing processes, documentation, and SOPs. Every component — the LLM, vector store, embedding model, and ingestion pipeline — runs entirely on local infrastructure with no cloud dependencies.
// highlights
Fully air-gapped deployment with zero external dependencies
Semantic chunking with overlap for context-preserving retrieval
Custom evaluation framework using domain expert annotations
Organic adoption across engineering teams without top-down mandate
