Do you have experience working with AI agents, RAG systems, or MCP?

AI agents are software components that can independently make decisions and perform tasks based on artificial intelligence. In the context of Golang, such agents can be created using machine learning libraries or by integrating external AI services.

RAG (Retrieval-Augmented Generation) is an approach where a generative model is supplemented with a knowledge base search mechanism to improve answer quality. In Golang, RAG systems can be implemented by combining search engines (e.g., Elasticsearch) with generative models via API.

MCP (Multi-Channel Platform) is a platform that unites multiple communication channels (chat, email, social networks) for user interaction. Experience with MCP in Golang includes developing microservices for message processing and integrating with various APIs.

An example of a simple AI agent in Go that uses an external API for generating responses:

package main

import (
	"fmt"
	"net/http"
	"io/ioutil"
)

func getAIResponse(prompt string) (string, error) {
	// Placeholder for calling an external AI API
	resp, err := http.Get("https://api.example.com/generate?prompt=" + prompt)
	if err != nil {
		return "", err
	}
	defer resp.Body.Close()
	body, err := ioutil.ReadAll(resp.Body)
	if err != nil {
		return "", err
	}
	return string(body), nil
}

func main() {
	response, err := getAIResponse("Hello, AI agent!")
	if err != nil {
		fmt.Println("Error:", err)
		return
	}
	fmt.Println("AI Response:", response)
}