A secure way to use 7,000 company pages in a RAG workflow
A company needs to use about 7,000 pages of internal data in a as the first step in a larger workflow. The full workflow is planned in n8n, with more steps coming after it. Security is the top requirement.
The data must not leave the company’s protected environment. The current design under consideration connects data to and , then ties that setup into n8n. The main is whether Azure is effectively the only practical choice for strict company data security, or whether other tools can work well with n8n and handle 7,000 pages safely.
Another concern is how difficult it is to connect , Azure storage, and Azure search inside n8n without turning the setup into a long problem.
Key points
- The data set is about 7,000 pages of company information.
- The workflow is planned in n8n and will feed later steps.
- The main rule is that data cannot leave the secure company environment.
- The proposed setup uses , , , and n8n together.
- The open questions are whether Azure is the only strong option, what alternatives exist, and how hard the setup will be.