diff --git a/extensions/AzureCosmosDBMongoDB/README.md b/extensions/AzureCosmosDBMongoDB/README.md new file mode 100644 index 000000000..f78aaa623 --- /dev/null +++ b/extensions/AzureCosmosDBMongoDB/README.md @@ -0,0 +1,5 @@ +# Developing with Azure CosmosDB MongoDB vCore + +Integrated Vector Database in Azure Cosmos DB for MongoDB vCore can be used to seamlessly connect your AI-based applications with your data that's stored in Azure Cosmos DB. This integration can include apps that you built by using Azure OpenAI embeddings. The natively integrated vector database enables you to efficiently store, index, and query high-dimensional vector data that's stored directly in Azure Cosmos DB for MongoDB vCore, along with the original data from which the vector data is created. It eliminates the need to transfer your data to alternative vector stores and incur additional costs. + +Please refer to this link for setting up your Azure CosmosDB MongoDB vCore cluster, and more information on vector search using [Azure CosmosDB MongoDB vCore](https://learn.microsoft.com/en-us/azure/cosmos-db/mongodb/vcore/vector-search). \ No newline at end of file