RAG (Retrieval Augmented Generation) lets you ask natural language questions about your PDFs, manuals, contracts and internal databases. Accurate answers with source citations. 100% private.
We work with industry best practices to guarantee real results.
The system doesn't hallucinate. It searches your knowledge base, finds relevant information and uses it to respond. Answers are specific to your company, not generic.
Each answer includes a reference to the document, page or section where the information comes from. Users can verify and dive deeper into the original source.
We process virtually any document format: PDFs, Word, Excel, PowerPoint, internal web pages, database tables and management systems.
The system can be deployed entirely within your own infrastructure. Your confidential documents never leave your company or reach third-party servers.
When you upload a new document or update an existing one, the system processes it automatically. The knowledge base is always current with no manual work.
Employees stop interrupting experts with questions already answered in some manual or procedure. The AI responds instantly, at any time of day.
A clear and transparent method so you always know which stage your project is at.
We inventory all relevant documents: manuals, procedures, contracts, internal FAQs, existing knowledge bases. We define what enters the system.
We process documents, split them into semantic chunks, generate vector embeddings and index them in the vector database. The system is ready for queries.
We build the chat or search interface, retrieval system, answer generation pipeline and source citation logic. Testing with real questions from your team.
We deploy to production (on-premise or private cloud), train the team and configure the document update process. Post-launch support included.
Everything you need to know before starting
Tell us your idea and we'll prepare a no-commitment proposal in 24 hours.