RAG in one sentence

RAG stands for retrieval-augmented generation: before the AI writes an answer, the system first retrieves the parts of your documents that relate to the question, and the AI answers from those parts only.

How it works, in three steps

  1. Your documents are prepared. Policies, contracts, manuals or price lists are split into small passages and indexed, so they can be searched by meaning, not only by exact words.
  2. A question comes in. The system finds the passages that best match what was asked, even if the question uses different words or another language.
  3. The answer is written from those passages. The AI writes the answer using only what it found, and shows the source, such as the document and page.

Why not just ask ChatGPT?

A general AI model doesn't know your documents, your prices or your internal rules. When it doesn't know, it may still write a confident answer. With RAG, the answer is tied to your own text, you can check the source, and a well-built system says so when your documents don't cover a question.

Where it helps a business

What to prepare

Zelonic Ask is our RAG assistant: it answers in Arabic and English only from the Word and PDF files you upload, and shows the source in every answer.

Common questions.

An AI assistant that looks up the answer in your documents first, then answers from what it found and shows the source.

It can use the same kind of AI model, but it answers from your documents instead of general knowledge, and it shows where the answer came from.

Yes, when it is built for Arabic. Zelonic Ask answers in Arabic and English.

A well-built RAG system says the documents don't cover the question instead of guessing. Zelonic Ask works this way.

Want Answers From Your Own Documents?

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