AI Learning

Personal notes and study tracks on NLP, embeddings, vector search, and Retrieval-Augmented Generation.

NLP for Semantic Search 14 Chapters

A structured, mastery-focused recreation of Pinecone's NLP for Semantic Search course for Gen AI Solution Architects — from dense vectors through domain-adapted retrievers.

Embeddings, Vector DBs & RAG Concept Map

A concept map distilling the key ideas needed to build a Retrieval-Augmented Generation (RAG) application, plus a reference architecture on AWS.