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Build a smart personal assistant with GROQ, LLaMA & search tools

DigiMetaLabDigiMetaLab
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2/3/2026
ShopifyData ExtractionCustomer DataETLAPI Integration
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A reasoning agent that can think, search, calculate, and remember — powered by GROQ inference and ready to deploy in one click.

Unlike traditional AI bots that only respond, this assistant reasons before replying, fetches real-time facts, does math, and keeps short-term memory of your conversation.

🔧 How it works This template builds a conversational AI agent using the GROQ LLaMA 3 or LLaMA 4 API, combined with modular tools like:

  1. 🧠 Think Tool – performs step-by-step logical reasoning
  2. 🔍 SerpAPI – fetches live data from Google search
  3. ➗ Calculator – handles arithmetic and math queries
  4. 💾 Memory Buffer – keeps track of the last 5 messages for context

Everything is integrated inside n8n and optimized for blazing-fast replies using GROQ’s ultra-low latency.

🧠 Your Agent Will:

  • Understand and analyze your queries
  • Think through solutions before answering
  • Pull real-time data via SerpAPI
  • Perform calculations with the built-in math engine
  • Recall prior context using short-term memory
  • Respond clearly, conversationally — like a real assistant

🧑‍💼 Who is this template for? Perfect for:

  • AI builders and creators using GROQ + n8n
  • Teams needing a real-time LLaMA-powered assistant
  • Beginners exploring LangChain + n8n workflows
  • Developers combining LLMs + tools + memory

🚀 How to Set Up

  • Plug in your GROQ API key
  • Add your SerpAPI key
  • Import and run — it’s ready to chat!
  • All tools are pre-wired. You can expand the memory, customize prompts, or plug in more tools.

📬 Use Cases Connect this agent with:

  • Telegram Bots 🤖
  • WhatsApp via Twilio 📱
  • Slack, Discord, or Gmail 💬
  • Manual triggers in n8n 🔁

👉 Check out more templates by this creator: https://n8n.io/creators/digimetalab

Smart Personal Assistant with Groq, Llama, and Search Tools

This n8n workflow empowers you to build a sophisticated personal assistant capable of understanding natural language, remembering past conversations, performing calculations, and searching the web using powerful AI models and tools.

What it does

This workflow orchestrates several LangChain components to create an intelligent AI agent:

  1. Listens for Chat Messages: It acts as a trigger, initiating the workflow whenever a new chat message is received.
  2. Maintains Conversation History: It utilizes a "Simple Memory" component to keep track of previous interactions, allowing the AI to understand context and provide more coherent responses.
  3. Leverages a Powerful Language Model: It uses the "Groq Chat Model" (which can run Llama models) as its core intelligence, enabling it to process natural language, generate responses, and make decisions.
  4. Provides Calculation Capabilities: It integrates a "Calculator" tool, allowing the AI to perform mathematical operations when needed.
  5. Enables Web Search: It includes a "SerpAPI (Google Search)" tool, giving the AI the ability to search the internet for information to answer questions or gather data.
  6. Facilitates Internal Reasoning: It incorporates a "Think Tool" to allow the AI agent to perform internal reasoning steps before generating a final response, improving the quality and accuracy of its outputs.
  7. Orchestrates with an AI Agent: An "AI Agent" node acts as the central orchestrator, deciding which tools to use (Calculator, SerpAPI, Think), when to use them, and how to combine their outputs with the chat model and memory to generate a comprehensive and intelligent response.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • Groq API Key: For the "Groq Chat Model" to function.
  • SerpAPI API Key: For the "SerpAPI (Google Search)" tool to perform web searches.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your Groq API Key credential in n8n.
    • Set up your SerpAPI API Key credential in n8n.
  3. Connect the Chat Trigger: Configure the "When chat message received" trigger to connect to your desired chat platform (e.g., Slack, Telegram, Discord, etc.) where you want your personal assistant to operate.
  4. Activate the workflow: Once configured, activate the workflow.

Your smart personal assistant will now be ready to interact, remember conversations, calculate, and search the web!

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