mlogclub
5d7c10aeab
- Updated runtime configuration to use __CS_AI_AGENT_WIDGET_CONFIG__ instead of __CS_AGENT_WIDGET_CONFIG__. - Changed message types in support host bridge from "cs-agent" to "cs-ai-agent". - Minified SDK script updated to reflect new AI agent naming conventions. - Adjusted scrollbar styles in main.scss to use .cs-ai-agent-scrollbar instead of .cs-agent-scrollbar.
54 lines
1.5 KiB
Go
54 lines
1.5 KiB
Go
package rag
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import (
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"context"
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"fmt"
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"log/slog"
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"cs-ai-agent/internal/ai/rag/vectordb"
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"cs-ai-agent/internal/models"
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"github.com/mlogclub/simple/sqls"
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)
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func (s *index) ensureCollection(ctx context.Context, provider vectordb.Provider, collectionName string, dimension int) error {
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collectionInfo, err := provider.GetCollection(ctx, collectionName)
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if err == nil && collectionInfo != nil {
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return nil
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}
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if dimension <= 0 {
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return fmt.Errorf("invalid embedding dimension: %d", dimension)
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}
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if err := provider.CreateCollection(ctx, collectionName, dimension); err != nil {
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return fmt.Errorf("failed to create collection: %w", err)
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}
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slog.Info("Created collection for knowledge base", "collection", collectionName, "dimension", dimension)
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return nil
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}
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func (s *index) replaceDocumentChunks(documentID int64, chunkModels []models.KnowledgeChunk) error {
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return sqls.WithTransaction(func(ctx *sqls.TxContext) error {
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if err := ctx.Tx.Where("document_id = ?", documentID).Delete(&models.KnowledgeChunk{}).Error; err != nil {
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return err
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}
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for _, chunk := range chunkModels {
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if err := ctx.Tx.Create(&chunk).Error; err != nil {
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return err
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}
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}
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return nil
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})
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}
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func (s *index) replaceFAQChunk(faqID int64, chunkModel *models.KnowledgeChunk) error {
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if chunkModel == nil {
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return nil
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}
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return sqls.WithTransaction(func(ctx *sqls.TxContext) error {
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if err := ctx.Tx.Where("faq_id = ?", faqID).Delete(&models.KnowledgeChunk{}).Error; err != nil {
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return err
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}
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return ctx.Tx.Create(chunkModel).Error
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})
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}
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