[pt2] Choosing the right Data Storage Source (Under Preview) for Azure AI Search
This blog introduces new preview data sources for Azure AI Search, including Fabric OneLake Files, Azure Cosmos DB for Gremlin, Azure Cosmos DB for MongoDB, SharePoint, and Azure Files. Each data source supports incremental indexing, metadata extraction, and AI enrichment, making Azure AI Search more powerful for enterprise search applications.[pt1] Choosing the right Data Storage Source (Generally available) for Azure AI Search
When integrating Azure AI Search into your solutions, choosing the right data storage and data sources is crucial for efficient and scalable indexing. This blog dives into three primary data source connectors for Azure AI Search: Azure Blob Storage, Azure Cosmos DB for NoSQL, and Azure SQL Database. Each data source type offers distinct advantages and use cases depending on the structure of your data and the desired search functionality.
