In-house Knowledge LLM for Manufacturing

Expert know-how was scattered across drawings, technical documents, and quality logs — much of it living only in people's heads. Data-leak concerns ruled out external cloud AI, and new hires burned hours just finding the right reference.

We structured internal documents into an ontology and built an on-prem LLM connected through RAG. The model is designed to understand how drawings, specs, and quality history relate, so it only produces answers with cited source documents. No data ever leaves the internal network.

• ▸Private LLM
• ▸Local embeddings
• ▸Reranker

• ▸Ontology
• ▸RAG
• ▸PGVector
• ▸Document parser

• ▸On-prem
• ▸Network isolation
• ▸Access logs