Cheaper, Faster, Accurate Answers with Memory Summarization & Dynamic Routing!
# Smart Telegram AI Assistant with Memory Summarization & Dynamic Model Selection > **Optimize your AI workflows, cut costs, and get faster, more accurate answers.** --- ## Description Tired of expensive AI calls, slow responses, or bots that forget your context? This **Telegram AI Assistant template** is designed to **optimize cost, speed, and precision** in your AI-powered conversations. By combining **PostgreSQL chat memory**, **AI summarization**, and **dynamic model selection**, this workflow ensures you only pay for what you really need. Simple queries get routed to lightweight models, while complex requests automatically trigger more advanced ones. The result? **Smarter context, lower costs, and better answers.** This template is perfect for anyone who wants to: - **Save money** by using cheaper models for easy tasks. - **Keep context relevant** with AI-powered summarization. - **Respond faster** thanks to optimized chat memory storage. - **Deliver better answers** directly inside Telegram. --- ### Key Benefits - **Cost Optimization**: Automatically routes simple requests to Gemini Flash Lite and reserves Gemini Pro only for complex reasoning. - **Smarter Context**: Summarization ensures only the most relevant chat history is used. - **Faster Workflows**: Storing user + agent messages in a single row reduces DB queries by half and saves ~0.3s per response. - **Voice Message Support**: Convert Telegram voice notes to text and reply intelligently. - **Error-Proof Formatting**: Safe MarkdownV2 ensures Telegram-ready answers. --- ## Use Case This template is for **anyone who needs an AI chatbot on Telegram** that balances **cost, performance, and intelligence**. - Customer support teams can **reduce expenses** by using lightweight models for FAQs. - Freelancers and consultants can **offer faster AI-powered chats** without losing context. - Power users can **handle voice + text seamlessly** while keeping conversations memory-aware. Whether you're scaling a business or just want a smarter assistant, this workflow adapts to your needs and budget. --- ## Example Interactions - **Quick Q&A** Routed to Gemini Flash Lite for fast, low-cost answers. - **Complex problem-solving** Sent to Gemini Pro for in-depth reasoning. - **Voice messages** Automatically transcribed, summarized, and answered. - **Long conversations** Context is summarized, ensuring precise and efficient replies. --- ## Required Credentials - **Telegram Bot API** (Bot Token) - **PostgreSQL** (Database connection) - **Google Gemini API** (Flash Lite, Flash, Pro) --- ## Setup Instructions 1. **Create the PostgreSQL table** (`chat_memory`) from the Gray section SQL. 2. Configure the **Telegram Trigger** with your bot token. 3. Connect your **Gemini API credentials**. 4. Set up PostgreSQL nodes with your DB details. 5. Activate the workflow and start chatting with your AI-powered Telegram bot. --- ## Tags `telegram` `ai-assistant` `chatbot` `postgresql` `summarization` `memory` `gemini` `dynamic-routing` `workflow-optimization` `cost-saving` `voice-to-text` --- ## Acknowledgement A special thank you to Davide for the inspiration behind this template. His work on the [**AI Orchestrator that dynamically selects models based on input type**](https://n8n.io/workflows/7004-ai-orchestrator-dynamically-selects-models-based-on-input-type/) served as a foundational guide for this architecture. --- ## Need Assistance? Want to customize this workflow for your business or project? Let's connect: - Email: [johnsilva11031@gmail.com](mailto:johnsilva11031@gmail.com) - LinkedIn: [John Alejandro Silva Rodríguez](https://www.linkedin.com/in/john-alejandro-silva-rodriguez-48093526b/)
- Platform
- n8n
- Category
- AI
- Price
- $24.99
- Creator
- John Alejandro SIlva
- set
- code
- switch
- postgres
- telegram
- aggregate
- stickyNote
- manualTrigger
- agent
- telegramTrigger
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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