Explore the power of vector databases for semantic search using Python and Pinecone. Learn how to build a knowledge base, perform similarity searches, and optimize your implementation. This post covers the basics of vector embeddings, demonstrates practical code examples, and discusses best practices for scalable semantic search solutions.