What Is RAG, Explained Simply
In short: RAG (Retrieval-Augmented Generation) is an AI assistant that answers questions from YOUR documents and knowledge base, rather than from the model’s general knowledge. Before answering, it finds the relevant fragment in your data and relies on it, so it answers more accurately and with a link to the source.
What RAG is
RAG stands for Retrieval-Augmented Generation — "generation with retrieval over a knowledge base". It is a pairing of two parts: retrieval finds the relevant pieces in your documents (instructions, price lists, contracts, your support base), and a language model (GPT or Claude) turns them into a clear answer. As a result, the assistant speaks based on your real data, not general information from the internet.
How RAG differs from regular ChatGPT
- A regular chat answers "off the top of its head" — from what the model was trained on, and it may make things up (hallucinate).
- RAG first finds the fact in your documents and answers from it — more accurately and with a source.
- RAG knows what is not on the internet: your prices, policies, stock, terms.
- Updating RAG’s knowledge is just adding a document, not retraining the model.
Why a business needs RAG
- Support 24/7: the assistant answers customers from your knowledge base without an agent.
- Less load on managers: the bot closes typical questions.
- Accuracy: answers from your data, with a source — customers and staff trust them.
- An internal helper: employees quickly find answers in policies and instructions.
How it works, no fluff
Your documents are split once into fragments and stored in a special database. When a question comes in, the system finds the most relevant fragments in that database and passes them to the model along with the question. The model answers strictly from those fragments and states where it took the information from. If the answer is not in the data, the assistant honestly says it does not know rather than making something up.
How much it costs to implement RAG
An AI integration with a RAG assistant costs from $600. The exact price depends on the volume of documents, the integrations you need (website, Telegram, CRM) and the complexity of the scenarios. You can start with one channel and a knowledge base, then expand.
Discuss an AI assistant for your business →FAQ
- What is RAG in simple terms?
- It is an AI assistant that answers from your documents rather than from general knowledge. Before answering, it finds the relevant fragment in your base and relies on it, with a link to the source.
- How does RAG differ from fine-tuning a model?
- Fine-tuning changes the model itself and is expensive to update. RAG does not touch the model — it feeds it your documents at the moment of answering. Updating knowledge is easier: add a file and the assistant already knows about it.
- What data does a RAG assistant work on?
- On yours: documents, instructions, price lists, your support base, website, sheets. Whatever you load into the knowledge base is what it will know.
- Is it safe for company data?
- Yes. The data is stored in your base and used only to answer. We hand over the access and the storage, and the assistant answers strictly from your documents.