Web development · Business automation · AI

OTON · service for your city

RAG Systems and Knowledge Base Search Development in Moscow

We build RAG systems and knowledge-base search with sources, access control and answer-quality checks. For a team in Moscow: define the task, data, delivery boundaries and remote review process.

We will estimate the cost from your brief.

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RAG Systems and Knowledge Base Search Development in Moscow

RAG system and knowledge-base search for a team in Moscow

We build RAG systems and knowledge-base search with sources, access control and answer-quality checks.

Delivery focus: Align roles, data and ownership across several participants.

What we discuss first

sources, access rules, example questions, freshness rules and answer criteria.

What we accept in the result

indexing, source-backed search, roles, test set and abstention on insufficient evidence.

Boundaries and dependencies

RAG does not make unverified documents trustworthy or replace a knowledge owner.

AI workflow coordination in Moscow

For an AI workflow, we confirm approved data, result review and human hand-off; city coordination helps agree the process owner in Moscow. Remote sessions follow Moscow time, UTC+3. Delivery is remote; OTON does not claim an office, employees or local representation in this city.

Brief prompt

Who decides, provides data and approves the result?

Hand-off check

Confirm roles, access, data flows and acceptance criteria.

Offer geography

Before work starts, we confirm whether the offer is intended for Moscow, Russia or several markets. This affects language, form fields, required information, analytics and campaign settings; no unsupported local promises are added.

Local delivery context

Before an AI workflow is built, permitted and prohibited data, access, logging and human review are agreed; this does not replace the customer's legal assessment. Официальный интернет-портал правовой информации.

City context

The official portal reports a chatbot and digital avatar used in the city procurement system for user guidance and training. AI discovery separates guidance from critical decisions and identifies approved sources and the owner of answer review. Acceptance includes benchmark questions, source references, refusal on insufficient evidence and human hand-off. Official Moscow procurement portal.

Question before the brief

Can any documents be connected? Only approved material with clear access rights. Can approval be split across teams? Yes, with an owner defined for every decision.

Let’s get started

Have a task? Let’s discuss it.

You do not need a finished brief. Tell us your idea in your own words — we will help with the rest.

Sole proprietor Egorov A.R.Kyrgyzstan, 33 Fere Street

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Tell us what you need. We will help you choose the right solution.

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No obligation. We start by understanding your task.