Enterprise RAG systems
AI search and answers over an organization's own documents, with every answer sourced.
Overview
General-purpose chat models don't know an organization's internal documents and answer without sources. A RAG (retrieval-augmented generation) system first searches the organization's own content, finds the relevant passages and grounds the model's answer in them.
We design each deployment around the organization's data: which sources to connect, how documents are chunked and indexed, who can access which documents, and where the system runs.
When data must not leave the organization, we deliver on-premise, private cloud or hybrid deployments. Data protection requirements, including KVKK in Türkiye, are handled at the design stage.