A production RAG architecture for deep technical document analysis — built on open-source models, deployed fully on-premise.
Interface with your local neural search database. Drop in your operational engineering files or specifications, initiate indexing, and queries will process sequentially across the pipeline layers.
System initialized. Awaiting vector instructions.
Load documents via the ingestion layer, then feed text inputs below. The system will track reasoning pathways before showing complete answers.
Each stage is handled by the model best suited for that task. Click any stage to see what happens inside.
Model: Mistral 7B · Always-on · ~5GB VRAM · <50ms latency
We design and implement on-premise RAG pipelines tailored to your engineering domain. Full data sovereignty. No cloud dependency.
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