package model

import (
	"encoding/json"
)

// ArticleEmbedding stores vector embeddings for semantic article search.
// Reference: Chatwoot ArticleEmbedding (enterprise) + P2B M9 spec
type ArticleEmbedding struct {
	Base
	ArticleID uint            `gorm:"not null;index" json:"article_id"`
	Embedding json.RawMessage `gorm:"type:jsonb" json:"embedding"` // vector data (1536-dim, stored as JSON for portability)
	Term      string          `gorm:"type:text;not null" json:"term"` // searchable text content

	Article Article `gorm:"foreignKey:ArticleID" json:"article,omitempty"`
}

func (ArticleEmbedding) TableName() string { return "article_embeddings" }