In this .NET Data Community Standup episode, Adam Sitnik joins Jiri Cincura and Shay Rojansky to discuss Microsoft.Extensions.DataIngestion, providing developers with insights into its database and AI integration capabilities.

.NET Data Community Standup: Introduction to Microsoft.Extensions.DataIngestion

In this session, Adam Sitnik, who worked directly on the implementation, introduces the new Microsoft.Extensions.DataIngestion library. Hosted by Jiri Cincura and Shay Rojansky, the discussion covers:

• Purpose and use-cases: Data ingestion workflows, working with documents, and supporting scenarios involving parsing and transformation.
• Integration with .NET: How the new extension fits into the broader Microsoft.Extensions ecosystem for .NET developers.
• AI Features: Discussion of processing vectors and document embeddings, as well as the relation to AI-driven data solutions.
• Practical insights: Architecture decisions, design patterns, and behind-the-scenes development notes provided by Adam Sitnik.
• Community engagement: The .NET Data Community’s role in shaping the library’s direction and use-cases.

Key Topics

• Data ingestion pipelines for .NET
• Parsing and transforming documents
• Handling vectors and embeddings in modern data applications
• Practical demo scenarios and real-world applications

About the Speakers

• Adam Sitnik: Core developer of Microsoft.Extensions.DataIngestion
• Jiri Cincura and Shay Rojansky: Community leaders and hosts

Learn More

• Explore real-world demos of Microsoft.Extensions.DataIngestion
• Understand how .NET developers can leverage AI-driven data ingestion
• Discover tips and best practices for integrating the new extension into your data workflows