Perplexity Completion Example with LangChain Go

Hello there! 👋 This example demonstrates how to use the Perplexity API with LangChain Go to generate creative text completions. Let's break down what this exciting little program does!

What This Example Does

1. Environment Setup:

   • The program starts by loading environment variables from a .env file. This is where you'll store your Perplexity API key.

2. Perplexity LLM Configuration:

   • It sets up a Large Language Model (LLM) client using Perplexity's API, which is compatible with the OpenAI interface.
   • The model used is "llama-3.1-sonar-large-128k-online", a powerful language model hosted by Perplexity.

3. Text Generation:

   • The example prompts the model to "What is a prime number?"

4. Streaming Output:

   • As the model generates text, it streams the output directly to the console, allowing you to see the response being created in real-time!

Cool Features

• Real-time Streaming: Watch as the AI crafts the response word by word!
• Customizable: You can easily modify the prompt or adjust generation parameters.
• Perplexity Integration: Showcases how to use Perplexity's powerful models with LangChain Go.

Running the Example

1. Make sure you have a Perplexity API key and set it in your .env file as PERPLEXITY_API_KEY=your_api_key_here.
2. Run the program and watch as it generates a creative response about prime numbers right before your eyes!

You can read more about the perplexity API here: Perplexity API Documentation.

Enjoy exploring the creative possibilities with Perplexity and LangChain Go! 🚀🐹