Workflow
How can I provide support for database users in different languages?
Providing multilingual database support means giving every user accurate answers in their own language, without duplicating your team. With Chatref, you can deploy AI agents that serve up to 11 languages from one set of database docs. No translation staff, no separate bots - just add your content, pick languages, and your users get localized answers instantly.
Centralize your database knowledge base
Start by building a single source of truth for your database documentation. Upload your guides, API references, FAQs, and changelogs into Chatref - PDFs, URLs, site crawls, or plain text. The AI agent reads everything and grounds every answer in that content, so responses are always accurate, not hallucinations. When you later enable multilingual support, this same knowledge base powers every language, keeping answers consistent and maintenance low.
Deploy AI agents that speak your users' languages
Configure your Chatref AI agent to respond in multiple languages without any extra content. In the agent settings, check the languages you need (up to 11). The agent will auto-detect a user's language from their message and reply in kind, or you can set a default language per chat. For database teams, this means a user writing in Portuguese gets a Portuguese explanation of replica lag from the same doc that serves your English users - no duplicate work.
Divide support by region with workspaces
If your database service spans several regions with separate teams, use Chatref workspaces. Each workspace can have its own agents, languages, and content, while still sharing one account. For instance, you might run a European workspace with agents for German, French, and Italian, and an APAC workspace for Japanese, Korean, and English. Workspaces keep reporting and access separate, so regional leads can manage their own chats without stepping on each other.
Operate and scale your global database support
Multilingual support is never a set-it-and-forget-it job. Use Chatref's shared inbox to let human agents step in when a conversation needs deeper technical context, with the full thread visible. Tag conversations by language or topic to spot patterns, and use the insights digest to see what users ask most in each language. Adjust your knowledge base based on what's missing, and refine your AI agent's answers over time - all while keeping per-region costs in check with pay-as-you-go credit billing.
FAQ
How to set up multilingual database support
- Prepare your database help content in your primary language (English works best).
- Upload it to Chatref as a knowledge base (docs, PDFs, site links).
- Create an AI agent, enable multilingual, and select the languages you need.
- Embed the widget on your site or helper portals. Test by sending chats in each target language and verifying the response accuracy. No additional translation teams required.
Best practices for global customer service
- Start with your top 3 user languages, not all 11 at once, so you can fine-tune responses.
- Keep your source content concise and consistent; the AI works better with clear prose.
- Monitor conversations per language in the shared inbox, and escalate with human agents when a technical question goes beyond the docs.
- Use conversation tags to route language-specific issues to the right regional team.
Tools for localized chat support
Chatref's built-in capabilities cover the full workflow:
- Multilingual - auto-detects and replies in up to 11 languages from one knowledge base.
- Knowledge-base - your database docs power every answer, no guesswork.
- AI-agents - resolve questions instantly without human triage.
- Workspaces - separate regional support teams while keeping costs simple with pay-as-you-go credits. No add-ons, no per-bot fees.
Put this into practice
Chatref answers your customers from your own content, day and night. Add it to your site and go live in minutes – free to start.