diff --git a/apps/springai-terraform-rag/README.md b/apps/springai-terraform-rag/README.md
index e7608aaf..1c21f4e2 100644
--- a/apps/springai-terraform-rag/README.md
+++ b/apps/springai-terraform-rag/README.md
@@ -1,6 +1,6 @@
 # MongoDB Atlas + Terraform Spring Boot RAG Application
 
-This repository demonstrates how to build a **Retrieval-Augmented Generation (RAG)** application using **Spring Boot**, **OpenAI embeddings**, and **MongoDB Atlas Vector Search**. The infrastructure is automated using **Terraform** to provision and manage MongoDB Atlas resources.
+This repository demonstrates how to build a **Retrieval-Augmented Generation (RAG)** application using **Spring Boot**, **OpenAI embeddings**, and **MongoDB Vector Search**. The infrastructure is automated using **Terraform** to provision and manage MongoDB Atlas resources.
 
 ## Overview
 
@@ -11,7 +11,7 @@ In this project, we:
 
 ## Features
 - **Automated Infrastructure**: Terraform is used to provision MongoDB Atlas resources including clusters, vector search indices, and access controls.
-- **RAG Implementation**: A Spring Boot application that uses OpenAI to generate embeddings, with MongoDB Atlas vector search to perform semantic searches.
+- **RAG Implementation**: A Spring Boot application that uses OpenAI to generate embeddings, with MongoDB vector search to perform semantic searches.
 - **Document Loading**: Upload documents and store their embeddings for use in vector search.
 - **Querying with Vector Search**: Search documents by semantic similarity using a custom `/question` endpoint.
 
@@ -85,6 +85,6 @@ To run this project, you'll need:
 
 ## Technologies Used
 - **Spring Boot**: Java-based framework for building REST APIs.
-- **MongoDB Atlas**: An integrated suite of data services (including Atlas Vector Search) centered around a cloud database designed to accelerate and simplify how you build with data. Build faster and build smarter with a developer data platform that helps solve your data challenges. Click [here](https://www.mongodb.com/products/platform/atlas-database) to learn more.
+- **MongoDB Atlas**: An integrated suite of data services (including MongoDB Vector Search) centered around a cloud database designed to accelerate and simplify how you build with data. Build faster and build smarter with a developer data platform that helps solve your data challenges. Click [here](https://www.mongodb.com/products/platform/atlas-database) to learn more.
 - **OpenAI**: Generates embeddings for semantic searches.
 - **Terraform**: Automates infrastructure management for MongoDB Atlas.