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Dmitry Ng
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- Updated go.mod and go.sum files across multiple example projects to reflect the latest dependency versions. - Introduced new example scripts for various use cases, enhancing the repository's functionality and usability. - Cleaned up and optimized existing example configurations for better performance and maintainability.
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
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Environment Setup:
- The program starts by loading environment variables from a
.envfile. This is where you'll store your Perplexity API key.
- The program starts by loading environment variables from a
-
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 "sonar-pro", a powerful language model hosted by Perplexity.
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Text Generation:
- The example prompts the model to "What is a prime number?"
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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
- Make sure you have a Perplexity API key and set it in your
.envfile asPERPLEXITY_API_KEY=your_api_key_here. - 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! 🚀🐹