diff --git a/pkg/globalmanager/controllers/lifelonglearning/lifelonglearningjob.go b/pkg/globalmanager/controllers/lifelonglearning/lifelonglearningjob.go
index 174a3c768..f17b1a04e 100644
--- a/pkg/globalmanager/controllers/lifelonglearning/lifelonglearningjob.go
+++ b/pkg/globalmanager/controllers/lifelonglearning/lifelonglearningjob.go
@@ -20,6 +20,7 @@ import (
 	"context"
 	"encoding/json"
 	"fmt"
+	"strconv"
 	"strings"
 	"time"
 
@@ -542,6 +543,37 @@ func IsJobFinished(j *sednav1.LifelongLearningJob) bool {
 	return false
 }
 
+// isCompletedInitialTraining checks whether job has completed initial train task.
+func (c *Controller) hasCompletedInitialTraining(jobConditions []sednav1.LLJobCondition) bool {
+	for i := 0; i < len(jobConditions); i++ {
+		jobCond := jobConditions[i]
+		if jobCond.Stage == sednav1.LLJobTrain && jobCond.Type == sednav1.LLJobStageCondCompleted {
+			return true
+		}
+	}
+	return false
+}
+
+func (c *Controller) getCloudKBIndex(jobConditions []sednav1.LLJobCondition) string {
+	for i := len(jobConditions) - 1; i >= 0; i-- {
+		jobCond := jobConditions[i]
+		var cond ConditionData
+		if jobCond.Stage == sednav1.LLJobTrain && jobCond.Type == sednav1.LLJobStageCondCompleted {
+			if err := (&cond).Unmarshal([]byte(jobCond.Data)); err != nil {
+				continue
+			}
+
+			if cond.Output == nil || len(cond.Output.Models) == 0 {
+				continue
+			}
+
+			model := cond.Output.Models[0]
+			return model.GetURL()
+		}
+	}
+	return ""
+}
+
 func (c *Controller) createPod(job *sednav1.LifelongLearningJob, podtype sednav1.LLJobStage) (err error) {
 	ctx := context.Background()
 	var podTemplate *v1.PodTemplateSpec
@@ -571,8 +603,10 @@ func (c *Controller) createPod(job *sednav1.LifelongLearningJob, podtype sednav1
 		return err
 	}
 
+	jobConditions := job.Status.Conditions
+
 	// get all url for train and eval from data in condition
-	condDataStr := job.Status.Conditions[len(job.Status.Conditions)-1].Data
+	condDataStr := jobConditions[len(job.Status.Conditions)-1].Data
 	klog.V(2).Infof("lifelonglearning job %v/%v data condition:%s", job.Namespace, job.Name, condDataStr)
 	var cond ConditionData
 	(&cond).Unmarshal([]byte(condDataStr))
@@ -598,13 +632,19 @@ func (c *Controller) createPod(job *sednav1.LifelongLearningJob, podtype sednav1
 		podTemplate = &job.Spec.TrainSpec.Template
 		// Env parameters for train
 
+		hasCompletedInitialTraining := c.hasCompletedInitialTraining(jobConditions)
+
 		workerParam.Env = map[string]string{
-			"NAMESPACE":   job.Namespace,
-			"JOB_NAME":    job.Name,
-			"WORKER_NAME": "train-worker-" + utilrand.String(5),
+			"NAMESPACE":                      job.Namespace,
+			"JOB_NAME":                       job.Name,
+			"WORKER_NAME":                    "train-worker-" + utilrand.String(5),
+			"HAS_COMPLETED_INITIAL_TRAINING": strconv.FormatBool(hasCompletedInitialTraining),
+			"LC_SERVER":                      c.cfg.LC.Server,
+			"KB_SERVER":                      c.cfg.KB.Server,
+		}
 
-			"LC_SERVER": c.cfg.LC.Server,
-			"KB_SERVER": c.cfg.KB.Server,
+		if hasCompletedInitialTraining {
+			workerParam.Env["CLOUD_KB_INDEX"] = c.getCloudKBIndex(jobConditions)
 		}
 
 		workerParam.Mounts = append(workerParam.Mounts,