Unlock AI Power with Custom LLM Chains and Agents
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Supercharge your workflows by building custom Large Language Model (LLM) chains and intelligent agents with n8n. Seamlessly integrate AI capabilities directly into your automation processes.
About This Workflow
This n8n workflow demonstrates the power of integrating custom-built LLM chains and AI agents powered by Langchain. You can define your own LLM logic using the code node, allowing for intricate prompt engineering and complex response handling. Furthermore, this setup showcases how to create sophisticated AI agents capable of utilizing tools, such as Wikipedia searches, to gather information and perform tasks. By connecting these custom components with the OpenAI node, you can build highly intelligent and adaptable automation solutions that go beyond basic API calls, enabling dynamic and context-aware AI interactions within your workflows.
Key Features
- Custom LLM Chain Node: Design and implement your own LLM logic with full control over prompts and model interactions.
- AI Agent Integration: Create intelligent agents that can reason, plan, and use tools to accomplish tasks.
- Tool Utilization: Empower agents with access to external tools like Wikipedia for enhanced information retrieval.
- Seamless OpenAI Integration: Leverage the power of OpenAI models within your custom AI workflows.
- Visual Workflow Design: Build and manage your AI-powered automations with n8n's intuitive drag-and-drop interface.
How To Use
- Trigger Workflow: Initiate the workflow by clicking the "Execute Workflow" button.
- Define LLM Input: Use the "Set" node to define the input string for your custom LLM chain (e.g., "Tell me a joke").
- Configure Custom LLM Chain: The "Custom - LLM Chain Node" uses your input to construct a prompt and pipes it through the connected AI language model (OpenAI in this example).
- Define Agent Input: Utilize the "Set1" node to set an input for the AI Agent (e.g., "What year was Einstein born?").
- Configure AI Agent: The "Agent" node orchestrates the AI's actions, potentially using tools like the "Custom - Wikipedia" node to gather information.
- Connect Language Model: Ensure your OpenAI credentials are set up and connected to the "OpenAI" or "Chat OpenAI" nodes, and then link them to the "Custom - LLM Chain Node" and "Agent" nodes respectively.
- Integrate Tools: The "Custom - Wikipedia" node defines a tool for the agent, allowing it to query Wikipedia.
Apps Used
Workflow JSON
{
"id": "a61661c3-0fe4-4e91-81b5-2cad1ffcf0dd",
"name": "Unlock AI Power with Custom LLM Chains and Agents",
"nodes": 8,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: a61661c3-0fe4...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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