Add core implementation for AI-powered question answering

Introduce multiple agents, tools, and utilities for processing, extracting, and answering user-provided questions using LLMs and external data. Key features include knowledge processing, question splitting, search term generation, and contextual knowledge handling.

cmd/answer.go

@@ -2,6 +2,7 @@ package main
 
 import (
 	"context"
+	"fmt"
 	"log/slog"
 	"os"
 	"strings"
@@ -162,9 +163,7 @@ func main() {
 				panic(err)
 			}
 
-			for i, a := range answers {
-				slog.Info("answer", "index", i, "answer", a)
-			}
+			fmt.Println(fmt.Sprintf("Question: %s\nAnswer: %q", question.Question, answers))
 
 			return nil
 		},