Automate Language Model Queries with Custom JavaScript Agents
This workflow automates language model queries using custom JavaScript agents, integrating with OpenAI and Wikipedia for conversational and information retrieval tasks.
The workflow begins with a manual trigger, executing two parallel paths. The first path processes a preset query 'Tell me a joke' through a custom LLM chain node, interacting with an OpenAI node for query processing. The second path handles 'What year was Einstein born?' using an agent node that integrates with both a Chat OpenAI node and a custom Wikipedia node, providing comprehensive information retrieval. This setup is ideal for experimenting with language models in conversational and research contexts.
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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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