This workflow offers multiple functionalities and begins with a manual trigger, "When clicking 'Execute Workflow'," activating two distinct paths.
In the first path, a preset string "Tell me a joke" is processed through a custom Language Learning Model (LLM) chain node, which interacts with an OpenAI node to generate a response.
The second path processes another preset string "What year was Einstein born?" and sends it to an "Agent" node. This agent interacts with both a Chat OpenAI node and a custom Wikipedia node to retrieve the information.
This workflow combines built-in and custom nodes and integrates with OpenAI for both paths, making it ideal for experimenting with language models, especially in conversational agents and information retrieval contexts.
Please note: To use this template, ensure you are on rantir version 1.19.4 or later.
Other Workflows like this one
Your connected stack awaits to automate AI workflows with 24-7 uptime performance and engagement
Reconcile Rent Payments with Local Excel Spreadsheet and OpenAI
Visual Regression Testing with Apify and AI Vision Model
AI Agent to Analyze Stocks Workflow
Create LinkedIn Contributions with AI and Notify Users On Slack
Analyze feedback using AWS Comprehend and send it to Slack or Mattermost
Enhance Customer Chat by Buffering Messages with Twilio and Redis
Compare features across plans
Computir Cloud Suite All Access
$99/m
Unlimited Team Plan & Custom Integration
$299/m
Computir Cloud
Custom Develop integrations
Custom Integrations
"I highly recommend Computir, they are a great dev team with quick turn around on all projects and requests. We recently worked with them on updating our website and any changes, updates or modifications I needed were always taken care of quickly!"
Introducing an integration-software suite that's automated, creative, & collaborative. Open-sourced. On-Premise. On-device.
