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RAG copilot for company data

Your company has built up years of procedures, contracts, minutes, technical manuals and internal policies. The problem isn't having the documents: it's finding and using them at the right moment. A company copilot built on RAG answers your team's questions by drawing directly on your documents, with cited sources and no invention.

What a RAG copilot is and why it works

RAG stands for Retrieval-Augmented Generation: instead of relying only on what the model learned during training, the copilot retrieves the relevant documents from your knowledge base in real time and builds the answer on that specific content. The result is an AI assistant on your company documents that:

• Answers using your documents: internal procedures, regulations, contracts, FAQs, technical manuals. Not generic data found online.
• Cites its sources: every answer includes a reference to the source document. The team can verify it in one click.
• Doesn't invent: if the information isn't in the knowledge base, the copilot says so explicitly. No silent hallucination.
• Updates with your content: new documents enter the index without retraining anything. The knowledge base grows with the company.

Concrete use cases

The cases with the fastest, most measurable value are the ones where the team loses time searching for information that exists but is hard to reach:

• Internal HR and legal support: the team answers its own questions on company policy, contracts and regulations, without waiting for the consultant's reply.
• Faster onboarding: new hires find the answer to any operational question in the copilot, without interrupting senior colleagues.
• Knowledge-base-driven customer service: operators get the correct answer in seconds, with the reference document already at hand.
• Property management document handling: at Studio Lamparelli (Naples, Aversa) the RAG copilot automated more than 40% of recurring administrative work, saving over 40 hours a week.

How we work

No two copilots are the same. Before writing a line of code, we understand how your team works, which documents exist, and what question the copilot needs to answer on day one of go-live:

• Discovery: mapping existing documents, formats, access permissions and the priority use cases to cover straight away.
• Ingestion and indexing: we import the documents, structure them for retrieval and build the vector index. We handle PDFs, Word files, spreadsheets and internal web pages.
• Development and testing: we build the copilot, test it with real questions from the team, measure answer accuracy and fix issues before launch.
• Go-live and monitoring: release with hands-on support, feedback collection and improvement cycles over the first 30 days in production.

Why Latentia

We work on real projects, not demos. The copilots we build are in production today, used every day by teams that adopted them because they deliver concrete results:

• EU data and GDPR: your documents never leave European infrastructure. No sensitive data on servers outside the EU.
• No lock-in: the architecture is open. You can move the copilot to another provider or manage it yourself at any time.
• Made in Italy: in-house team in Naples, no outsourcing. A single point of contact for the whole project.
• Response within 24 hours: every enquiry gets a reply the next working day.

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