diff --git a/ChatQnA/README.md b/ChatQnA/README.md
index c2d37ba295..0efd647250 100644
--- a/ChatQnA/README.md
+++ b/ChatQnA/README.md
@@ -87,7 +87,6 @@ flowchart LR
 
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 This ChatQnA use case performs RAG using LangChain, Redis VectorDB and Text Generation Inference on [Intel Gaudi2](https://www.intel.com/content/www/us/en/products/details/processors/ai-accelerators/gaudi-overview.html) or [Intel Xeon Scalable Processors](https://www.intel.com/content/www/us/en/products/details/processors/xeon.html).
 In the below, we provide a table that describes for each microservice component in the ChatQnA architecture, the default configuration of the open source project, hardware, port, and endpoint.