Files
History_Api/pkg/ai/rag.go
AzenKain a8f0597e59
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UPDATE: Chatbot module
2026-05-05 00:09:55 +07:00

82 lines
1.9 KiB
Go

package ai
import (
"context"
"fmt"
"history-api/pkg/config"
"html"
"regexp"
"github.com/tmc/langchaingo/embeddings"
"github.com/tmc/langchaingo/llms"
"github.com/tmc/langchaingo/llms/googleai"
"github.com/tmc/langchaingo/textsplitter"
)
type RagUtils struct {
llm llms.Model
embedder *embeddings.EmbedderImpl
}
func NewRagUtils() (*RagUtils, error) {
googleAIApiKey, err := config.GetConfig("GOOGLE_AI_API_KEY")
if err != nil {
return nil, err
}
llm, err := googleai.New(context.Background(),
googleai.WithAPIKey(googleAIApiKey),
googleai.WithDefaultEmbeddingModel("gemini-embedding-001"),
)
if err != nil {
return nil, fmt.Errorf("failed to init google ai: %w", err)
}
embedder, err := embeddings.NewEmbedder(llm)
if err != nil {
return nil, fmt.Errorf("failed to init embedder: %w", err)
}
return &RagUtils{
llm: llm,
embedder: embedder,
}, nil
}
func (u *RagUtils) StripHTML(text string) string {
re := regexp.MustCompile(`<[^>]*>`)
text = re.ReplaceAllString(text, " ")
return html.UnescapeString(text)
}
func (u *RagUtils) PrepareChunks(ctx context.Context, text string) ([]string, [][]float32, error) {
splitter := textsplitter.NewRecursiveCharacter(
textsplitter.WithChunkSize(1000),
textsplitter.WithChunkOverlap(200),
)
chunks, err := splitter.SplitText(text)
if err != nil || len(chunks) == 0 {
return nil, nil, err
}
vectors, err := u.embedder.EmbedDocuments(ctx, chunks)
if err != nil {
return nil, nil, err
}
return chunks, vectors, nil
}
func (u *RagUtils) EmbedQuery(ctx context.Context, query string) ([]float32, error) {
vectors, err := u.embedder.EmbedDocuments(ctx, []string{query})
if err != nil || len(vectors) == 0 {
return nil, err
}
return vectors[0], nil
}
func (u *RagUtils) GenerateResponse(ctx context.Context, prompt string) (string, error) {
return llms.GenerateFromSinglePrompt(ctx, u.llm, prompt)
}