Embeddings Explained for AI Agents
A beginner-friendly mental model of embeddings, vectors, similarity, and how AI agents use them for retrieval and memory without confusing similarity with truth.
Topic
#embeddings
3 articles — updated daily
How RAG Works: From Query to Retrieved Context
A step-by-step guide to the complete RAG pipeline, from document chunking and indexing through retrieval, reranking, context construction, and grounded generation.
Memory in AI Agents: How Agents Remember, Retrieve, and Forget
Learn how AI agent memory works, from context windows and working memory to persistent stores, retrieval, updating, forgetting, and memory quality.