Topic
Global teams need support that matches the customer’s language without separate bots per locale. Qefro indexes mixed-language corpora in isolated workspaces.
OCR helps scanned PDFs and image-heavy manuals stay searchable. Hybrid BM25 + vector retrieval improves recall for short queries and proper nouns.
Refusal behavior reduces hallucinations when the corpus has no matching content — critical for regulated copy in every language.
Configure knowledge, instructions, and Business Tools once in the Admin Console. Deploy Customer AI on your website widget and WhatsApp, and Employee AI on a branded Internal Portal — with the same retrieval, permissions, and action layer underneath.
Answers are grounded in your documents and crawled pages. Hybrid search combines keyword and vector retrieval, returns source citations, and is designed to decline when nothing relevant exists — so teams can trust support and internal assistants in production.
When chat must change state — order lookups, tickets, CRM updates — connect your APIs via REST/OpenAPI or the Backend SDK. Credentials are encrypted; outbound calls use HTTPS with SSRF protections; execution logs support review and QA.
You should not rebuild RAG infrastructure, hosting, or channel adapters for every project. Qefro gives organizations a multi-tenant AI Workspace Platform: isolated knowledge per workspace, RBAC for owners/admins/members, PII scrubbing on model calls, and a 14-day free trial with full premium access so you can prove value before buying.
Compare plans on the pricing page, review security controls, and read the benchmark methodology for how we evaluate grounding and refusal behavior. Product docs live at docs.qefro.com.
Practical capabilities for multilingual ai chatbot — not a demo chatbot.
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