Chunking for Qdrant in .NET Before It Becomes a Quality Problem
Extend .NET and Qdrant indexing with section boundaries, paragraph overlap, deterministic chunk IDs, and queries that expose incomplete evidence.
Embeddings
Querying Qdrant from .NET
Turn a question into an embedding, apply payload filters, query Qdrant from .NET, and inspect the ranked results without treating a similarity score as proof of relevance.
Indexing Your First Documents
Index documents in Qdrant from .NET with Azure OpenAI or local Ollama embeddings, stable point IDs, useful payloads, and a read-back check.
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.
Embeddings in .NET
How to generate text embeddings with Microsoft.Extensions.AI and keep the model, dimensions, comparison metric, and indexing behavior compatible.