Files
ai-agent/internal/ai/rag/index_storage_helpers.go
T

54 lines
1.5 KiB
Go

package rag
import (
"context"
"fmt"
"log/slog"
"cs-agent/internal/ai/rag/vectordb"
"cs-agent/internal/models"
"github.com/mlogclub/simple/sqls"
)
func (s *index) ensureCollection(ctx context.Context, provider vectordb.Provider, collectionName string, dimension int) error {
collectionInfo, err := provider.GetCollection(ctx, collectionName)
if err == nil && collectionInfo != nil {
return nil
}
if dimension <= 0 {
return fmt.Errorf("invalid embedding dimension: %d", dimension)
}
if err := provider.CreateCollection(ctx, collectionName, dimension); err != nil {
return fmt.Errorf("failed to create collection: %w", err)
}
slog.Info("Created collection for knowledge base", "collection", collectionName, "dimension", dimension)
return nil
}
func (s *index) replaceDocumentChunks(documentID int64, chunkModels []models.KnowledgeChunk) error {
return sqls.WithTransaction(func(ctx *sqls.TxContext) error {
if err := ctx.Tx.Where("document_id = ?", documentID).Delete(&models.KnowledgeChunk{}).Error; err != nil {
return err
}
for _, chunk := range chunkModels {
if err := ctx.Tx.Create(&chunk).Error; err != nil {
return err
}
}
return nil
})
}
func (s *index) replaceFAQChunk(faqID int64, chunkModel *models.KnowledgeChunk) error {
if chunkModel == nil {
return nil
}
return sqls.WithTransaction(func(ctx *sqls.TxContext) error {
if err := ctx.Tx.Where("faq_id = ?", faqID).Delete(&models.KnowledgeChunk{}).Error; err != nil {
return err
}
return ctx.Tx.Create(chunkModel).Error
})
}