The Vertex AI Go SDK enables developers to use Google's state-of-the-art generative AI models (like Gemini) to build AI-powered features and applications. This SDK supports use cases like:
For example, with just a few lines of code, you can access Gemini's multimodal capabilities to generate text from text-and-image input.
model := client.GenerativeModel("gemini-pro-vision")
img := genai.ImageData("jpeg", image_bytes)
prompt := genai.Text("Please give me a recipe for this:")
resp, err := model.GenerateContent(ctx, img, prompt)
Add the SDK to your module with go get cloud.google.com/go/vertexai/genai.
For detailed instructions, you can find a quickstart for the Vertex AI Go SDK in the Google Cloud documentation.
You can find complete documentation for the Vertex AI SDKs and the Gemini model in the Google Cloud documentation: https://cloud.google.com/vertex-ai/docs/generative-ai/learn/overview
For a list of the supported models and their capabilities, see https://cloud.google.com/vertex-ai/docs/generative-ai/learn/model-versioning
You can also find information about this SDK in the Go package documentation.
Check out some usage samples:
See Contributing for more information on contributing to the Vertex AI Go SDK.
The contents of this repository are licensed under the Apache License, version 2.0.