diff --git a/.github/workflows/pr-path-detection.yml b/.github/workflows/pr-path-detection.yml
index e45aca0df..928b5a61d 100644
--- a/.github/workflows/pr-path-detection.yml
+++ b/.github/workflows/pr-path-detection.yml
@@ -136,7 +136,7 @@ jobs:
                       if [ "$response_retry" -eq 200 ]; then
                         echo "*****Retry successfully*****"
                       else
-                        echo "Invalid link from $real_path: $url_dev"
+                        echo "Invalid path from ${{github.workspace}}/$refer_path: $png_path"
                         fail="TRUE"
                       fi
                     else
diff --git a/ChatQnA/benchmark/performance/README.md b/ChatQnA/benchmark/performance/README.md
index 3b5aea727..b94a46817 100644
--- a/ChatQnA/benchmark/performance/README.md
+++ b/ChatQnA/benchmark/performance/README.md
@@ -144,7 +144,7 @@ kubectl label nodes k8s-worker1 node-type=chatqna-opea
 
 ##### 2. Install ChatQnA
 
-Go to [BKC manifest](https://github.com/opea-project/GenAIExamples/tree/main/ChatQnA/benchmark/tuned/with_rerank/single_gaudi) and apply to K8s.
+Go to [BKC manifest](./tuned/with_rerank/single_gaudi) and apply to K8s.
 
 ```bash
 # on k8s-master node
@@ -227,7 +227,7 @@ kubectl label nodes k8s-worker1 k8s-worker2 node-type=chatqna-opea
 
 ##### 2. Install ChatQnA
 
-Go to [BKC manifest](https://github.com/opea-project/GenAIExamples/tree/main/ChatQnA/benchmark/tuned/with_rerank/two_gaudi) and apply to K8s.
+Go to [BKC manifest](./tuned/with_rerank/two_gaudi) and apply to K8s.
 
 ```bash
 # on k8s-master node
@@ -276,7 +276,7 @@ kubectl label nodes k8s-master k8s-worker1 k8s-worker2 k8s-worker3 node-type=cha
 
 ##### 2. Install ChatQnA
 
-Go to [BKC manifest](https://github.com/opea-project/GenAIExamples/tree/main/ChatQnA/benchmark/tuned/with_rerank/four_gaudi) and apply to K8s.
+Go to [BKC manifest](./tuned/with_rerank/four_gaudi) and apply to K8s.
 
 ```bash
 # on k8s-master node
@@ -313,7 +313,3 @@ cd GenAIExamples/ChatQnA/benchmark/performance/tuned/with_rerank/single_gaudi
 kubectl delete -f .
 kubectl label nodes k8s-master k8s-worker1 k8s-worker2 k8s-worker3 node-type-
 ```
-
-#### 6. Results
-
-Check OOB performance data [here](/opea_release_data.md#chatqna), tuned performance data will be released soon.
diff --git a/opea_release_data.md b/opea_release_data.md
deleted file mode 100644
index f44b80f10..000000000
--- a/opea_release_data.md
+++ /dev/null
@@ -1,49 +0,0 @@
-# OPEA Release Data
-
-This page shows the benchmark data of GenAIExamples. More data for different examples will be submitted in the future release.
-
-## ChatQnA
-
-| **Docker Images for Test**                            |
-| ----------------------------------------------------- |
-| opea/embedding-tei:v0.9                               |
-| ghcr.io/huggingface/text-embeddings-inference:cpu-1.5 |
-| opea/llm-tgi:v0.9                                     |
-| ghcr.io/huggingface/tgi-gaudi:2.0.1                   |
-| opea/dataprep-redis:v0.9                              |
-| redis/redis-stack:7.2.0-v9                            |
-| opea/reranking-tei:v0.9                               |
-| opea/tei-gaudi:v0.9                                   |
-| opea/retriever-redis:v0.9                             |
-| opea/chatqna:v0.9                                     |
-
-System Summary:  
-1-node, 2x Intel(R) Xeon(R) Platinum 8380 CPU @ 2.30GHz, 40 cores, 270W TDP, HT On, Turbo On, NUMA 2, Integrated Accelerators Available [used]: DLB 0 [0], DSA 0 [0], IAA 0 [0], QAT 0 [0], Total Memory 1024GB (32x32GB DDR4 3200 MT/s [3200 MT/s]), BIOS ETM02, microcode 0xd0003b9, 8x Habana Labs Ltd., 4x MT28800 Family [ConnectX-5 Ex], 4x 7T INTEL SSDPF2KX076TZ, 2x 894.3G SAMSUNG MZ1L2960HCJR-00A07, Ubuntu 22.04.3 LTS, 5.15.0-92-generic. Software: WORKLOAD+VERSION, COMPILER, LIBRARIES, OTHER_SW. Test by Intel as of 08/20/24.
-
-### Performance Data
-
-| 1Node E2E Performance (Sec) | Gaudi nodes | Concurrency | Input | Output | Average Latency | P90 Total latency |
-| :-------------------------: | :---------: | :---------: | :---: | :----: | :-------------: | :---------------: |
-|      OOB w/o Reranking      |      1      |     128     |  128  |  128   |      5.597      |       7.59        |
-|      OOB w/ Reranking       |      1      |     128     |  128  |  128   |      6.003      |       8.123       |
-
-| 2Nodes E2E Performance (Sec) | Gaudi nodes | Concurrency | Input | Output | Average Latency | P90 Total latency |
-| :--------------------------: | :---------: | :---------: | :---: | :----: | :-------------: | :---------------: |
-|      OOB w/o Reranking       |      2      |     256     |  128  |  128   |      7.05       |       9.122       |
-|       OOB w/ Reranking       |      2      |     256     |  128  |  128   |      7.26       |       9.239       |
-
-| 4Nodes E2E Performance (Sec) | Gaudi nodes | Concurrency | Input | Output | Average Latency | P90 Total latency |
-| :--------------------------: | :---------: | :---------: | :---: | :----: | :-------------: | :---------------: |
-|      OOB w/o Reranking       |      4      |     512     |  128  |  128   |     16.293      |      21.169       |
-|       OOB w/ Reranking       |      4      |     512     |  128  |  128   |      17.22      |      21.942       |
-
-Go to Benchmark [README](./ChatQnA/benchmark/README.md) for reproduce steps, tuned performance data will be released soon.
-
-### Accuracy Data
-
-|        Test Case        | Hits@10 | Hits@4 | MAP@10 | MRR@10 |
-| :---------------------: | :-----: | :----: | :----: | :----: |
-| Retrieval w/o Reranking | 66.16%  | 49.80% | 17.62% | 39.75% |
-| Retrieval w/ Reranking  | 72.28%  | 63.24% | 24.97% | 56.79% |
-
-Go to Accuracy [README](https://github.com/opea-project/GenAIEval/tree/main/evals/evaluation/rag_eval#multihop-english-dataset) for reproduce steps.