A bilingual knowledge base is not two unrelated folders of translations. Every answer needs one semantic identity, an owner, a source version, localization status, and a next review date. Russian and Kyrgyz wording can differ naturally, but facts, limits, prices, and the next action must stay aligned.
Localization quality is not literal similarity. It is whether a customer receives the same correct and useful outcome in each language.
The unit is a verifiable answer
Do not begin with a large category tree. Collect real customer questions and agent resolutions. Each item should solve one task: payment, order change, connection prerequisites, or error recovery. Store:
- a language-independent identifier;
- a title and alternative search phrasing;
- a concise direct answer;
- steps and limitations;
- a factual owner and language editor;
- source, version, review date, and next review deadline.
Content responsibilities
The factual owner confirms process, price, timing, and exceptions. An editor makes the Russian source clear. A Kyrgyz editor creates a natural localization and records terminology choices. The support team reports confusion from real conversations. An AI Quality Manager admits content into Joop AI sources only after version and test-question review.
Editorial workflow
- Draft: question, direct answer, steps, and factual source.
- Expert review: the process owner confirms the content.
- Localization: the Kyrgyz version is created for meaning, not word order.
- Alignment: numbers, conditions, links, and warnings are compared.
- Publication: ready versions receive dates and owners.
- Observation: failed searches and escalations create improvement tasks.
- Review: product changes return dependent content to review.
Control terminology
Maintain a small glossary: official term, accepted conversational form, discouraged form, and example. Do not translate interface labels into wording the customer cannot see. Use the real label and explain it. Record a new terminology decision once rather than reopening it in every article.
Pre-publication quality check
- do amounts, timing, limits, and required conditions match;
- do the action order and final outcome match;
- does one language accidentally add a promise;
- do links lead to the corresponding localized page;
- can a new agent follow the instruction without oral help;
- do the opening paragraphs answer the real question.
Prepare content for AI
AI does not repair a contradictory knowledge base; it scales the contradiction. Allow only approved versions into retrieval, retain language, source, and date, and isolate each company’s data. A draft should show citations, while an absent verified answer should trigger handoff rather than guessing.
Knowledge metrics
- questions for which a useful item was found;
- zero-result searches and frequent reformulations;
- content past its review date;
- escalations after content use;
- agent corrections to AI drafts by source;
- Russian–Kyrgyz quality gaps on the same evaluation set.
Frequently asked questions
Must everything be written in Russian first?
Russian may be the editorial source, but the Kyrgyz version should be a complete reviewed text, not an unchecked machine translation.
Is any knowledge base immediately ready for AI?
No. It needs versioning, source review, access isolation, and test questions in every supported language.
Methodology
This guide reflects the Joop.kg editorial model: one semantic entity, separate localizations, expert approval, and a measurable review cycle. Start a pilot with the 20–30 most frequent questions rather than attempting to document the entire company.