Feature
Production RAG needs filters for tenant and workspace, not a single shared index. Qefro isolates by design.
Hybrid search helps exact IDs and fuzzy questions. Multilingual and OCR expand what you can index.
Publishable benchmark methodology explains how we think about accuracy and refusal — not vanity chat scores.
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 rag — not a demo chatbot.
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