Build a Vector Search Engine in Python with FAISS and Sentence Transformers

This tutorial walks through building a semantic vector search engine from scratch using Python, Sentence Transformers, and FAISS. You’ll learn how embeddings work, how similarity search is performed, and how modern AI systems retrieve relevant information at scale. By the end, you’ll have a working vector search engine and a deep understanding of the infrastructure behind LLM-powered applications, RAG systems, and semantic search.