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Microsoft announces preview of data ingestion building blocks for .NET, providing modular abstractions for building AI data pipelines. The library offers unified document representation, flexible readers for multiple file formats, built-in AI enrichments (summarization, sentiment analysis), customizable chunking strategies, and integration with vector databases. Built on Microsoft.Extensions.AI and Microsoft.Extensions.VectorData, it enables developers to create composable ETL workflows for RAG scenarios with support for various storage backends including Qdrant, SQL Server, and MongoDB.

Introducing Data Ingestion Building Blocks (Preview)

Introducing Data Ingestion Building Blocks in .NET Copy link

Build your first data ingestion pipeline Copy link