Memory with SQL (pgvector) and Qdrant — Simple SK patterns
You don't need Cosmos DB to add memory. Postgres (pgvector) and Qdrant are great options — here's how in Semantic Kernel.
12 posts
You don't need Cosmos DB to add memory. Postgres (pgvector) and Qdrant are great options — here's how in Semantic Kernel.
Designing user, team, and company memory with Azure Cosmos DB vectors, ACL filters, TTL, and C# snippets.
SQL Server vector storage and search SQL Server 2025 with DiskANN
Using Azure Cosmos DB as an integrated vector store (DiskANN) for chat sessions, memory, and retrieval
What Qdrant is, why it’s great for vector search, how to run it with Docker, and how to use it with Semantic Kernel in C#.
Getting Started with AI Search
How to chunk your data, filter it smartly, and combine BM25 with vectors for reliable retrieval.
Practical RAG patterns that work in production and how to evaluate them with recall, groundedness, and latency.
A practical primer on cosine similarity and common ANN indexes: HNSW, IVF, and PQ — with small, concrete examples.
Getting Started with Vector Search
Build a streaming chat endpoint with Server-Sent Events (SSE) in ASP.NET Core and wire it to Semantic Kernel for token-by-token output.
What Semantic Kernel is, how it works, which languages it supports, and where I'm using it.