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Chat with local LLMs using Rantir and Ollama

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

     
  1. Chat Message Received: Captures the user’s input from the chat interface.
  2.  
  3. Chat LLM Chain: Sends the input to the Ollama server and receives the AI-generated response.
  4.  
  5. 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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