Goai
What is Goai
GoAI is an AI SDK designed for building AI-powered applications using the Go programming language. It provides a unified interface for integrating various large language model (LLM) providers and vector operations.
Use cases
Use cases for GoAI include developing conversational agents, implementing AI-based search functionalities, creating personalized content recommendations, and enhancing applications with AI capabilities.
How to use
To use GoAI, developers can install the SDK via Go modules, import it into their Go projects, and utilize its functions to interact with multiple LLM providers and perform vector operations.
Key features
Key features of GoAI include support for multiple LLM providers (such as OpenAI, Anthropic Claude, and AWS Bedrock), efficient vector operations for generating embeddings, and a clean, unified interface for AI operations.
Where to use
GoAI can be used in various fields including natural language processing, chatbots, recommendation systems, and any application that requires AI-driven functionalities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Goai
GoAI is an AI SDK designed for building AI-powered applications using the Go programming language. It provides a unified interface for integrating various large language model (LLM) providers and vector operations.
Use cases
Use cases for GoAI include developing conversational agents, implementing AI-based search functionalities, creating personalized content recommendations, and enhancing applications with AI capabilities.
How to use
To use GoAI, developers can install the SDK via Go modules, import it into their Go projects, and utilize its functions to interact with multiple LLM providers and perform vector operations.
Key features
Key features of GoAI include support for multiple LLM providers (such as OpenAI, Anthropic Claude, and AWS Bedrock), efficient vector operations for generating embeddings, and a clean, unified interface for AI operations.
Where to use
GoAI can be used in various fields including natural language processing, chatbots, recommendation systems, and any application that requires AI-driven functionalities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🚀 GoAI
GoAI is a powerful Go library that seamlessly integrates multiple LLM providers, vector embeddings,
and vector storage capabilities. Built for developers who want a clean, unified interface for AI operations.
✨ Features
🤖 Multiple LLM Providers
- OpenAI
- Anthropic Claude
- AWS Bedrock
📊 Vector Operations
- Efficient embeddings generation
- PostgreSQL vector storage
- Similarity search
🛠 Developer Experience
- Consistent interfaces
- Streaming support
- Type-safe operations
🚀 Quick Start
📦 Installation
go get github.com/shaharia-lab/goai
Example
You can find more examples in the _examples directory which
you can run simply by go run _examples/simple_chat.go
package main
import (
"github.com/shaharia-lab/goai"
"log"
"os"
)
func main() {
// Initialize LLM
client := goai.NewAnthropicClient(os.Getenv("ANTHROPIC_API_KEY"))
provider := goai.NewAnthropicLLMProvider(goai.AnthropicProviderConfig{
Client: client,
})
// Configure request
llm := goai.NewLLMRequest(goai.NewRequestConfig(
goai.WithMaxToken(200),
goai.WithTemperature(0.7),
), provider)
// Generate response
response, err := llm.Generate([]goai.LLMMessage{
{Role: goai.UserRole, Text: "Explain quantum computing"},
})
if err != nil {
panic(err)
}
log.Println(response)
}
📚 Documentation
Visit our documentation for detailed guides on:
- Getting Started
- LLM Integration
- Embedding Generation
- Vector Operations
- MCP (Model Context Protocol) Server in Go
- API Reference
🤝 Contributing
We welcome contributions! See our Contributing Guide for details.
🔒 Security
Review our Security Policy for reporting vulnerabilities.
📝 License
MIT License - see LICENSE for details.
Built with ❤️ by Shaharia Lab and
Contributors
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
