29/06/2025
🤖 Could your business use a 24/7 teammate who speaks flawless Georgian and never drops the ball?
Picture this:
A customer on your e-shop asks, “შევიძინე ზომა M, გადაცვლა როგორ შეიძლება?”
An HR hire pings, “Where’s the updated vacation policy in English?”
A field technician whispers into a phone on bad 4G, “Which fuse goes in panel 32?”
All three get an instant, citation-backed answer—pulled from your own docs, policies, and inventory—thanks to Retrieval-Augmented Generation (RAG) under the hood:
🔍 Vector Search finds the exact paragraph in milliseconds
🧠 LLM drafts a natural reply in Georgian or English
🛡️ Guardrails apply role-based filters, sentiment checks, & logging
🔄 Feedback Loop keeps learning from real conversations
Use-case sparks
Customer care – 70 % of tickets vanish; agents now tackle VIP cases instead of “How do I reset my password?”
Sales assist – Chatbot spots upgrade intent mid-conversation and offers the next-level plan with live pricing.
Compliance & audits – Every answer is traced back to a clause in the policy PDF—no more “he said, she said.”
Onboarding buddy – New hires chat in Georgian, English, or both, ramping up days—not weeks—faster.
💬 Why it clicks (even for non-tech teams):
Everything lives in a no-code dashboard—edit an FAQ line, re-train, done. If you can update a Confluence page, you can run this bot.
At Empirical, we’re already tinkering with Georgian-tuned LLMs, vector pipelines, and security guardrails so you don’t have to. Want to see a live demo on your knowledge base? Drop a “🤖” below or DM, and let’s make knowledge conversational.
