RAG — Private Documentation Base
RAG — Private Documentation Base
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Query your own documents in natural language, directly from your local AI workstation. The RAG module indexes your files and makes them available to your model — without any data leaving your network.
Included Features
Private Document Database
Your PDF, Word, and text files are locally indexed in a vector database, queryable at any time.
Semantic Search
AI identifies relevant passages in your documents, even without exact keyword matches.
Dedicated Chat Interface
Ask your questions in natural language and get sourced answers directly from your own files.
Strictly Local Data
The entire pipeline runs on your workstation. No data is transmitted to a cloud or external service.
Setup & Integration
Full Installation
RAG pipeline configured and tested before shipping, ready to use from the first power-on.
Easy Enrichment
Simple procedure to add new documents to the database over time, without technical intervention.
Network Integration
Accessible from all workstations on your local network, in compliance with your existing infrastructure.
Personalized Explanatory Video
Sent via WhatsApp or email · filmed for your specific configuration
- ✓Access to the RAG interface
- ✓Importing your first documents
- ✓Formulating queries
- ✓Database enrichment
- ✓Access from your other workstations
- ✓Best practices for organization
Support & Assistance
30 min by phone
Assisted onboarding upon receipt of your machine, dedicated to RAG configuration.
Priority Support
Priority access to Radiance Systems support for any questions related to your document database.



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