AI Assist
One of the main reasons businesses fear adopting AI is "hallucinations": the model confidently invents facts. RAG (Retrieval-Augmented Generation) solves this by making the agent answer only from your verified data.
How RAG works
Instead of relying solely on the model's "memory", RAG first retrieves relevant fragments from your knowledge base and then builds the answer based on them. Every reply is grounded in a specific source.
Why it removes hallucinations
If the answer is not in the knowledge base, the agent says so instead of making something up. This makes AI safe for customer service, sales, and internal processes.
RAG turns AI from a "chatty companion" into a reliable source that answers using your own materials.
What you need to implement it
- A knowledge base: instructions, price lists, FAQs, documents;
- A vector store for fast retrieval;
- Rules for when to hand the chat to a human.
Where it delivers the most value
RAG is especially useful where the cost of a mistake is high: customer support, price consultations, legal and financial questions. The agent always relies on up-to-date information that is easy to refresh.
