DAEMLABS
We built a fully offline AI document intelligence system that reads thousands of pages of technical documentation and answers engineering queries instantly — no cloud, no internet, no hallucinations.
Electrical engineers waste hours manually searching massive IEC 61850 standard documents. Standard RAG systems break on compound queries, conversational follow-ups, and completely fail in air-gapped offline environments where no cloud API can be used.
Built a fully offline RAG pipeline with local LLMs via Ollama, Qdrant vector database, and a custom double-caching engine. Engineered parent-child table mapping, multi-intent query splitting, conversational memory with pronoun resolution, and a self-healing streaming validation layer — all running on-premise with zero external calls.
Exact cache hits — under 1ms
Semantic cache hits — ~10ms
26 second startup bottleneck reduced to under 1ms
Conversational query rewriting in under 150ms
100% precision score across 20 complex technical questions
Zero hallucinations, zero cloud dependency