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Create a voice & text Telegram assistant with Lookio RAG and GPT-4.1

by Guillaume Duvernayadapted from n8n official workflow galleryUpdated Aug 2026
RequiresAAI AgentHTTP RequestHTTP RequestOpenAI Chat ModelOpenAI Chat ModelSSimple MemoryTelegramTelegram
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Telegram TriggerIfMyself?AgAI AgentMBSimple MemoryGet Audio FileSwMessage RouterOpenAI Chat ModelOpenAI Chat Mod…Telegram answerHRQuery knowledge baseQuery knowledge…SePrepare message from audioPrepare message…SePrepare message from textPrepare message…SeConsolidate user messageConsolidate use…HRMistral transcribeMistral transcr…12345678910111213
1/5
STEPS · 13
Starts on a Telegram event

Create a Telegram bot that answers questions using Retrieval-Augmented Generation (RAG) powered by Lookio and an LLM agent (GPT-4.1). This template handles both text and voice messages (voice transcribed via a Mistral model by default), routes queries through an agent that can call a Lookio tool to fetch knowledge from your uploaded documents, and returns concise, Telegram-friendly replies. A security switch lets you restrict use to a single Telegram username for private testing, or remove the filter to make the bot public. Who is this for? Internal teams & knowledge workers**: Turn your internal docs into an interactive Telegram assistant for quick knowledge lookups. Support & ops**: Provide on-demand answers from your internal knowledge base without exposing full documentation. Developers & automation engineers**: Use this as a reference for integrating agents, transcription, and RAG inside n8n. No-code builders**: Quickly deploy a chat interface that uses Lookio for accurate, source-backed answers. What it does / What problem does this solve?

Tags

n8nreference-onlyagentlm-chat-open-aimemory-buffer-windowtelegram
Connects
AAI AgentWHTTP RequestopenaichatmodelOpenAI Chat ModelSSimple MemorytelegramTelegram
CategoryAI Automation
Triggermanual
Complexitycomplex
Nodes13
AddedOct 18, 2025

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