Topic

Semantic Kernel Memory & Vector Stores

12 posts on semantic kernel memory & vector stores — part of framework tutorials on the n4n AI blog.

Semantic Kernel vector store tutorial: Redis memory store

Build a production-ready Semantic Kernel vector store with Redis. Step-by-step tutorial covering setup, embeddings, search, and filtering with runnable Python code.

July 27, 20263 min read

Framework tutorialsTutorial

Semantic Kernel vector store tutorial: pgvector setup

Step-by-step tutorial for configuring Semantic Kernel with pgvector in PostgreSQL, covering prerequisites, schema, ingestion, and vector search with runnable code.

July 27, 20263 min read

Framework tutorialsTutorial

Semantic Kernel vector store tutorial: Chroma integration

Build a Semantic Kernel vector store with Chroma — complete tutorial with prerequisites, runnable code, and expected outputs for engineers implementing RAG pipelines.

July 27, 20263 min read

Framework tutorialsTutorial

Semantic Kernel vector store tutorial: Azure AI Search setup

Build a production-ready Semantic Kernel vector store with Azure AI Search — prerequisites, index creation, ingestion, and hybrid search with runnable code.

July 27, 20263 min read

Framework tutorialsTutorial

Semantic Kernel memory tutorial: semantic text memory basics

Learn Semantic Kernel's semantic text memory with a hands-on tutorial — setup, storing embeddings, searching, and integrating vector stores.

July 27, 20263 min read

Framework tutorialsTutorial

Semantic Kernel memory tutorial: recalling conversations

A hands-on tutorial for implementing conversation memory in Semantic Kernel using vector stores, covering setup, storage, retrieval, and practical patterns for recall.

July 27, 20262 min read

Framework tutorialsTutorial

Semantic Kernel memory tutorial: hybrid document search

Build hybrid document search with Semantic Kernel Memory — combine vector similarity and keyword matching for better retrieval accuracy.

July 27, 20263 min read

Framework tutorialsGuide

Semantic Kernel memory tutorial: chunking documents

A practical guide to chunking documents in Semantic Kernel Memory, covering strategies, code patterns, and tradeoffs for production RAG systems.

July 27, 20262 min read

Framework tutorialsTutorial

Semantic Kernel memory tutorial: embeddings with n4n.ai

Hands-on Python tutorial for Semantic Kernel memory: configure embeddings via n4n.ai's OpenAI-compatible endpoint, build an in-memory vector store, query.

July 19, 20262 min read

Framework tutorialsHow-to

Connecting Semantic Kernel to Qdrant for vector memory

Step-by-step semantic kernel qdrant vector memory tutorial: wire SK memory to Qdrant, configure embeddings, store and query vectors with runnable code.

July 19, 20263 min read

Framework tutorialsComparison

Comparing vector stores for Semantic Kernel memory

A practitioner's head-to-head comparison of vector stores for Semantic Kernel memory across cost, latency, ergonomics, and limits, with a verdict.

July 19, 20265 min read

Framework tutorialsHow-to

Building long-term memory for Semantic Kernel agents

A hands-on long-term memory semantic kernel agents tutorial: wire vector stores, embeddings, and retrieval into Semantic Kernel agents for persistent context.

July 19, 20263 min read