Overview
RAG (Retrieval-Augmented Generation) means the model searches your knowledge base before it answers. When a question arrives, the system first retrieves the relevant passages, then writes the answer grounded only in those passages and cites them. Unlike old rule-based bots it does not need the exact phrasing; unlike a generic LLM it does not invent facts. When your content changes there is no retraining — updating the document is enough.
How it works
Scope
Every answer shows the document and page it relies on, so your team can verify it instantly.
When the assistant hits its limit it summarises the chat and passes it to an agent — the customer never repeats themselves.
Answers in Turkish, English, German and Russian from a single knowledge base.
Dealers, customers and staff see different knowledge sets, so confidential documents never leak.
Checks order status, opens tickets and books appointments through your APIs.
Top questions and unanswered ones are reported, exposing the gaps in your knowledge base.
Industry Use Cases
The assistant is the same; what changes is the knowledge base and the channel it lives in. The setups we build most often:
Answers questions on room types, cancellation terms, transfers and facilities even at midnight, and checks availability against your system.
Answers repetitive “where is my order” and “can I change the size” questions per customer by connecting to your order system.
Enrolment calendar, course content, regulations and scholarship terms are answered directly from the official texts.
Answers questions on dues, house rules and announcements, and turns a WhatsApp fault report into a work order.
Handles administrative questions such as clinic hours, pre-test preparation and required documents; it gives no medical advice and refers to a clinician.
Answers employee questions on leave procedures, expense policy or VPN setup straight from internal documentation.
Typical Gains
Figures show typical ranges from comparable projects; actual results depend on your data quality and processes.
Integration
FAQ
We set up a demo assistant on a slice of your documents so you can test it with your own real questions.