Service
RAG AI Assistants That Use Your Company Data
A RAG (Retrieval-Augmented Generation) AI assistant answers based on your own company documents and cites its sources. Unlike a generic chat model, it retrieves answers from your knowledge base, which markedly reduces hallucination (made-up answers).
We securely connect your procedures, product docs, contracts and internal knowledge base to the assistant. Access permissions, source citation and data privacy are at the centre of the design.
In short: A RAG AI assistant retrieves information from a company's own documents and answers with source citations. It works via Retrieval-Augmented Generation, reducing hallucination compared to a generic model and using up-to-date company data.
What this service includes
Knowledge Base Setup
We process your documents into a searchable vector store.
Sourced Answers
The assistant shows which document an answer came from.
Access Management
We set up role-based control over who can access which information.
Update Flow
The knowledge base updates automatically as new documents arrive.
RAG vs. fine-tuning
| Fine-tuning | RAG | |
|---|---|---|
| Updating knowledge | Requires retraining | Instant, by adding documents |
| Source citation | Hard | Natural (references the document) |
| Cost | High training cost | Lower, flexible |
| Best for | Teaching tone/format | Answers grounded in current data |
Example use cases
- Instant answers to internal procedure and HR questions
- A product-knowledge assistant for the support team
- Sourced search across contracts and regulations
- Q&A over technical documentation
- An internal product/price assistant for the sales team
Frequently asked questions
Does RAG fully prevent hallucination?
It doesn't eliminate it entirely but reduces it markedly; because answers are retrieved from company documents and sourced, verification is easier.
Does our data leave the company?
We design for privacy; hosting and model choice are configured to match your data policy, with role-based access.
Which file types are supported?
PDF, Word, web pages, spreadsheets and most text-based documents can be processed.
What is the advantage over fine-tuning?
You don't need to retrain the model to update knowledge; you add or remove documents to update instantly and can cite sources.
Let's talk about RAG AI Assistant
The first step is free: we listen to your processes and produce an actionable roadmap. No commitment.
Yapay Zeka Ajanları — Free Knowledge Center; custom services are priced per project.