diff --git a/docs/docs/starter-projects/rag-with-astradb.mdx b/docs/docs/starter-projects/rag-with-astradb.mdx
index 3c3868bf2..3afd81fd6 100644
--- a/docs/docs/starter-projects/rag-with-astradb.mdx
+++ b/docs/docs/starter-projects/rag-with-astradb.mdx
@@ -7,7 +7,7 @@ import Admonition from "@theme/Admonition";
 
 This guide will walk you through how to build a RAG (Retrieval Augmented Generation) application using **Astra DB** and **Langflow**.
 
-Astra DB is a cloud-native database built on Apache Cassandra that is optimized for the cloud. It is a fully managed database-as-a-service that simplifies operations and reduces costs. Astra DB is built on the same technology that powers the largest Cassandra deployments in the world.
+[Astra DB](https://www.datastax.com/products/datastax-astra?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=astradb) is a cloud-native database built on Apache Cassandra that is optimized for the cloud. It is a fully managed database-as-a-service that simplifies operations and reduces costs. Astra DB is built on the same technology that powers the largest Cassandra deployments in the world.
 
 In this guide, we will use Astra DB as a vector store to store and retrieve the documents that will be used by the RAG application to generate responses.
 
@@ -18,7 +18,7 @@ In this guide, we will use Astra DB as a vector store to store and retrieve the
 
 TLDR;
 
-- Visit the [Astra](https://astra.datastax.com) website and create a free account
+- [Create a free Astra DB account](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-a-free-astra-db-account)
 - Duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true)
 - Create a new database, get a **Token** and the **API Endpoint**
 - Click on the **New Project** button and look for Vector Store RAG. This will create a new project with the necessary components
@@ -32,7 +32,7 @@ TLDR;
 
 ## Create an Astra DB Database
 
-To get started, you will need to create an Astra DB database. Visit the [Astra](https://astra.datastax.com) website and create a free account.
+To get started, you will need to [create an Astra DB database](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-an-astradb-database).
 
 Once you have created an account, you will be taken to the Astra DB dashboard. Click on the **Create Database** button.
 
@@ -191,7 +191,5 @@ And that's it! You have successfully ran a RAG application using Astra DB and La
 
 # Conclusion
 
-In this guide, we have learned how to run a RAG application using Astra DB and Langflow. We have seen how to create an Astra DB database, import the Astra DB RAG Flows project into Langflow, and run the ingestion and RAG flows.import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import Admonition from "@theme/Admonition";
+In this guide, we have learned how to run a RAG application using Astra DB and Langflow.
+We have seen how to create an Astra DB database, import the Astra DB RAG Flows project into Langflow, and run the ingestion and RAG flows.