RAG

RAG and knowledge systems for company information

RAG—retrieval-augmented generation—means the model must look up passages before it answers. That is how an assistant stays attached to your policies, product docs and operating manuals instead of inventing them.

ZEH Technologies builds ingestion pipelines, chunking strategies, metadata filters, hybrid search where useful, and an answer layer that can show sources. Permissions matter: a finance file should not appear in a general staff chat.

See What is RAG in artificial intelligence? and RAG applications.