Add support for Azure AI Search Vector Store

[pratikdel04]

🚀 The feature

This feature request proposes adding support for Azure AI Search Vector Store as a backend storage option for embedchain. Embedchain currently supports various storage backends like Faiss, Annoy, and Milvus. Integrating Azure AI Search would provide users with a managed cloud-based solution for vector storage and retrieval.

Motivation, pitch

Many users leverage Azure cloud services for their applications. Having Azure AI Search support in embedchain would streamline the integration process for these users by allowing them to utilize a familiar and managed service for vector storage. Additionally, Azure AI Search offers features like scalability, geo-replication, and built-in query capabilities that could benefit embedchain users.

Benefits

Simplified Integration: Users working with Azure services can seamlessly integrate embedchain with their existing infrastructure.
Managed Service: Azure AI Search handles the underlying infrastructure, reducing maintenance overhead for users.
Scalability: Azure AI Search scales to meet the growing needs of the application.
Geo-replication: Enables geographically distributed deployments for improved redundancy and disaster recovery.
Query Capabilities: Leverages Azure AI Search's built-in query functionalities for efficient vector retrieval.

[Dev-Khant]

Hi @pratikdel04 there's already an open issue for adding Azure AI Search as vector DB #1119