feat: 优化RAG检索与聊天模型支持历史对话

实现双路检索并行优化，使用EINO官方模板重构聊天逻辑，增加多轮对话历史记录管理及相关性过滤，并修复数据库唯一索引。

service/document.go

@@ -12,10 +12,10 @@ import (
 	"rag/model/dto"
 	"rag/model/entity"
 	"strings"
+	"time"
 
 	"gitea.com/red-future/common/db/gfdb"
 	"gitea.com/red-future/common/full-text-search/meilisearch"
-	"gitea.com/red-future/common/http"
 	"gitea.com/red-future/common/utils"
 	gmq "github.com/bjang03/gmq/core/gmq"
 	"github.com/bjang03/gmq/mq"
@@ -159,12 +159,16 @@ func (s *documentService) Process(ctx context.Context, req *dto.ProcessDocumentR
 	if err != nil {
 		return
 	}
-
+	user, err := utils.GetUserInfo(ctx)
+	if err != nil {
+		return err
+	}
 	// ======================
 	// 核心：grpool + g.Try 最佳实践
 	// ======================
-	taskCtx, cancel := context.WithCancel(ctx)
-
+	// 使用带超时的background context，避免HTTP请求完成后context被取消
+	taskCtx, cancel := context.WithTimeout(context.Background(), 30*time.Minute)
+	taskCtx = context.WithValue(taskCtx, "user", user)
 	// 任务1: SQL 切分文档
 	grpool.Add(taskCtx, func(ctx context.Context) {
 		g.TryCatch(ctx, func(ctx context.Context) {
@@ -655,23 +659,12 @@ func (s *documentService) getHistoryData(ctx context.Context, doc *entity.Docume
 
 // getHistoryDataFromHttp 通过 HTTP 接口查询历史数据
 func (s *documentService) getHistoryDataFromHttp(ctx context.Context, doc *entity.Document) (dictData []*dto.DocumentChunkRPC, err error) {
-	headers := make(map[string]string)
-	if r := g.RequestFromCtx(ctx); r != nil {
-		for k, v := range r.Request.Header {
-			if len(v) > 0 {
-				headers[k] = v[0]
-			}
-		}
-	}
-
 	// 调用接口获取数据
-	d := &dto.ListDocumentChunkRPC{}
-	if err = http.Get(ctx, "rag-vector/document/chunk/listDocumentChunk", headers, &d,
-		"datasetId", gconv.String(doc.DatasetId),
-		"status", 1); err != nil {
-		return
-	}
-	dictData = d.List
+	res, _, err := dao.DocumentChunk.List(ctx, &dto.ListDocumentChunkReq{
+		DatasetId: doc.DatasetId,
+		Status:    gconv.PtrInt8(1),
+	})
+	err = gconv.Struct(res, &dictData)
 	return
 }