.NET AI Community Standup: Data Ingestion with .NET

Bruno Capuano and Luis Quintanilla walk through how to make data usable for AI apps in .NET, using the Microsoft.Extensions.* building blocks for AI, ingestion, and vector data.

Overview

The session focuses on the practical problem behind most AI apps: getting your own data into a shape that models can use reliably.

Key themes covered:

• .NET AI building blocks with Microsoft.Extensions.AI
• Data ingestion with Microsoft.Extensions.DataIngestion
• Vector data and vector search with Microsoft.Extensions.VectorData
• How embeddings and vector search support context engineering patterns
• Using retrieval-augmented generation (RAG) to ground responses in:
  • internal documents
  • business data

Links

• Microsoft Learn collection: https://learn.microsoft.com/en-us/collections/ng62sjt1k4jjep

Featured speakers

• Bruno Capuano
• Luis Quintanilla