README
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Vertex AI Completion Example
Welcome to this cheerful example of using Google's Vertex AI with LangChain Go! 🎉
This example demonstrates how to use the Vertex AI API to generate text completions using LangChain Go. It's a simple and fun way to interact with Google's powerful language models!
What This Example Does
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Sets Up Vertex AI: The code configures a connection to Google's Vertex AI service using your GCP project details and credentials.
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Creates a Language Model: It initializes a language model (LLM) using the Vertex AI service.
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Generates Text: The example then uses this LLM to generate an answer to the question "Who was the second person to walk on the moon?"
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Prints the Result: Finally, it prints the generated answer to the console.
How to Run
Before running this example, make sure you've set the following environment variables:
VERTEX_PROJECT: Your Google Cloud Project IDVERTEX_LOCATION: The GCP location (region) for Vertex AI (e.g., "us-central1")VERTEX_CREDENTIALS: Path to your GCP service account credentials JSON file
Once you've set these up, just run the Go file, and watch the magic happen! 🚀
Why It's Cool
This example showcases how easy it is to tap into advanced AI capabilities using LangChain Go and Google's Vertex AI. Whether you're building a chatbot, a question-answering system, or any other AI-powered application, this code provides a great starting point!
Happy coding, and may your AI adventures be ever exciting! 🌟
Documentation
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Overview ¶
Set the VERTEX_PROJECT env var to your GCP project with Vertex AI APIs enabled. Set VERTEX_LOCATION to a GCP location (region); if you're not sure about the location, set us-central1 Set the VERTEX_CREDENTIALS env var to the path of your GCP service account credentials JSON file.
Source Files