Retrieval-augmented generation

Answers grounded in your own documents

Sophia uses retrieval-augmented generation to answer from your own documents: it retrieves the relevant source at question time and grounds every answer in it, rather than guessing from memorized training data.

Overview

Retrieval-augmented generation

A general chatbot answers from a blurry memory of the internet. Sophia uses retrieval-augmented generation: for every question it retrieves the most relevant passages from your own documents and grounds its answer in them, so the response reflects your actual knowledge base rather than a plausible-sounding guess.

What it does

How grounding changes the answer

Retrieval-augmented generation grounded in your own documents.

Relevant sources are retrieved at question time, not recalled from training data.

Every answer is shown with the exact source documents behind it.

Azerbaijani-first, with Russian and English support.

Runs on your own self-hosted infrastructure.

How it works

How Sophia answers

1Connect your curated knowledge base
2Sophia retrieves the relevant grounded context
3It generates an answer from that context
4The exact source documents are shown alongside
FAQ

Common questions

What is retrieval-augmented generation?

It means Sophia retrieves relevant passages from your own documents at question time and grounds its answer in them, rather than answering from memorized training data.

Does it answer from the open internet?

No. Sophia answers from your own curated knowledge base, and shows the source documents behind each answer.

What languages does it support?

Sophia is Azerbaijani-first, with Russian and English support.

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More of what Sophia does

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See Sophia answer from your own documents

Book a demo to see Sophia answer from your own documents, in your language — grounded, cited and running on your own infrastructure.