Notary offices, construction firms and law firms accumulate thousands of pages nobody can query efficiently. Cloud tools would solve it — but regulation forbids them.
How a local RAG works
Embeddings are generated for every document inside the client’s infrastructure, stored in a local vector database, and an open model answers questions citing the source document. No data leaves the corporate network.
What you need
- Hardware with enough memory for the chosen model
- An ingestion pipeline that handles scanned PDFs with OCR
- Continuous evaluation of answer quality