Dmitriy Chugunov - AI Automation | Contra
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Dmitriy Chugunov
AI Automation: Telegram Bots, n8n Workflows, LLM Integration
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AI Assistant Using Your Business Knowledge Base — RAG on Your Documents THE PROBLEM Q&A bots break down when knowledge lives in documents: a 100-page manual has no "questions" to match, it can't fit into a prompt, and generic chatbots hallucinate instead of admitting what they don't know. THE SOLUTION A RAG (Retrieval-Augmented Generation) knowledge base: documents are split into meaningful chunks, embedded into a vector index, and the assistant answers from the right sections — by meaning, not keywords. Any format as-is: PDF, DOCX, TXT, Markdown — 100+ pages is fine Answers grounded in YOUR documents — it says "I don't have that information" rather than inventing Source references — every answer shows which document and section it came from Runs on your infrastructure — documents never leave your control One command to re-index after updating documents — documented, no programmer needed LIVE DEMO Ask it about my products, pricing, deployment and support — it answers from 6 real documents with sources: https://kb-assistant-demo.dvc-ai.workers.dev
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Task Tracker Bot — tasks, reports and progress in Telegram
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AI Lead Qualifier — qualifies leads before your manager calls
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Lead Machine — automated lead processing pipeline for n8n
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