Golang Tutorial: How to Use Ollama Large Language Models in Go with Talkative library

Incorporating large language models (LLMs) into your applications can revolutionize their intelligence and automation capabilities. However, navigating the intricacies of LLM interaction can be daunting for developers. Enter "talkative," a Golang package designed to streamline the process, making it user-friendly and efficient.

Prerequisite: Setting Up Ollama

Before diving into talkative, ensure you have Ollama up and running on your machine. Ollama serves as the framework simplifying the utilization of LLMs locally, enabling experimentation and integration of powerful models like Llama 2 and Mistral into your applications.

Understanding Talkative:

Talkative offers numerous advantages for Golang developers venturing into the realm of LLMs:

• Abstraction: Say goodbye to complexities! Talkative abstracts away the nitty-gritty details of LLM interaction, allowing you to focus solely on functionality without grappling with intricate HTTP requests or response parsing.
• Type Safety: With Talkative, you're in safe hands. Its strongly typed methods ensure code clarity and mitigate errors stemming from mismatched data types.
• Error Handling: Embrace graceful error handling! Talkative returns informative messages, aiding in the identification and troubleshooting of communication issues with LLMs via Ollama.
• Flexible Interactions: Customize your experience! Talkative offers two convenient interaction modes:
• Chat Endpoint: Ideal for conversational interactions, enabling users to send prompts or questions and receive responses simulating a chat-like interaction.
• Generate Endpoint: Tailored for direct generation tasks, empowering users to provide specific instructions or prompts for generating diverse text formats like poems, code snippets, scripts, and more.

How to Use Talkative

Let's dive into a basic example illustrating how to create a Talkative client and interact with LLMs:

package main

import (

  "fmt"

  "github.com/rifaideen/talkative"

)

func main() {

  // Create a new talkative client with your Ollama server URL

  client, err := talkative.New("http://localhost:11434")

  if err != nil {

    panic("Failed to create talkative client")

  }

  // The model to use in chat

  model := talkative.DEFAULT_MODEL

  // Callback function to handle the response

  callback := func(cr *talkative.ChatResponse, err error) {

    if err != nil {

       fmt.Println(err)

       return

    }

  

    fmt.Print(cr.Message.Content)

  }

  // Additional parameters to include. (Optional)

  var params *talkative.ChatParams = nil

  

  // The chat message to send

  message := talkative.ChatMessage{

    Role:    talkative.USER, // Initiate the chat as a user

    Content: "What is the capital of France?",

  }

  // Start the chat

  done, err := client.Chat(model, callback, params, message)

  if err != nil {

    panic(err)

  }

  <-done // wait for the chat to complete

  fmt.Println()

}

Specific Use Cases:

• Rapid Prototyping and Experimentation: Simplify interaction with LLMs for quick prototyping and experimentation in Golang applications.
• Building Chatbots and Conversational Interfaces: Leverage Talkative's "chat" endpoint to develop chatbots and conversational interfaces seamlessly.
• Content Creation and Text Generation Tasks: Utilize Talkative's "generate" endpoint for various content creation and text generation tasks within Golang applications.
• Integration with Existing Golang Applications: Seamlessly integrate LLM functionalities via Ollama into existing Golang applications with Talkative.

Explore More with Examples:

Delve deeper into the capabilities of Talkative by exploring the _examples directory, which contains code demonstrations for various use cases. Gain insights into leveraging Talkative to engage in chat and generate responses with large language models effectively.

Conclusion:

Talkative emerges as a valuable asset for Golang developers aiming to simplify interaction with large language models. With its user-friendly interface, type safety, robust error handling, and flexible interaction modes, Talkative empowers developers to build applications that harness the full potential of large language models with ease.