Your First Qdrant Collection

Run Qdrant locally, connect with the official .NET client, and create a collection whose vector size and distance match the embedding model.

September 2, 2026 · 7 min · Lukas Walter

Embeddings in .NET

How to generate text embeddings with Microsoft.Extensions.AI and keep the model, dimensions, comparison metric, and indexing behavior compatible.

August 19, 2026 · 11 min · Lukas Walter

Why Retrieval Exists

Why application knowledge does not belong in model weights, what retrieval contributes, and when a prompt, database query, or deterministic tool is simpler.

August 5, 2026 · 15 min · Lukas Walter