04 Beginner Vector Search Pipeline in Python (Sentence Transformers + FAISS on CPU)

Learn how to turn sentences into numbers and use them to build a simple AI-powered search system in Python—even on an old laptop with no graphics card. We use: - Sentence Transformers and PyTorch (CPU mode) to create embeddings - NumPy to format vectors - FAISS to build a fast vector database for similarity search You’ll see the difference between keyword search and semantic search, and how AI can find meaning instead of just matching words. This is a foundational building block for: - RAG pipelines - LLM-powered apps and chatbots - AI search systems - Game dialogue systems and story engines The focus is on understanding the pipeline, not memorizing math or building algorithms from scratch. If you can write basic Python, you can follow along and start building real AI systems today.