Integrations
Basic LLM Chain
Ollama Chat Model
Chat Trigger
Sticky Note
Chat with Local LLMs Using rantir and Ollama
This rantir workflow lets you interact smoothly with self-hosted Large Language Models (LLMs) through a simple chat interface. By connecting with Ollama—a robust tool for managing local LLMs—you can send prompts and receive AI-generated responses directly within rantir.
Use Cases
- Private AI Interactions
Perfect for situations where data privacy and confidentiality are essential. - Cost-Effective LLM Usage
Eliminate ongoing cloud API expenses by running models on your own hardware. - Experimentation & Learning
An excellent way to explore and experiment with different LLMs in a secure, local environment. - Prototyping & Development
Build and test AI applications without relying on external services.
How It Works
- Chat Message Received: Captures the user’s input from the chat interface.
- Chat LLM Chain: Sends the input to the Ollama server and receives the AI-generated response.
- Response Delivered: The LLM's response is sent back to the chat interface.
Setup Steps
- Ensure Ollama is installed and running on your machine before starting this workflow.
- Edit the Ollama address if it differs from the default setting.
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Everything in Professional, and:
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Introducing an integration-software suite that's automated, creative, & collaborative. Open-sourced. On-Premise. On-device.
Introducing an integration-software suite that's automated, creative, & collaborative. Open-sourced. On-Premise. On-device.
