This blog post explores the implementation of semantic search using vector databases, specifically Pinecone. We'll cover the basics of vector embeddings, building a knowledge base, and performing efficient semantic searches. The post includes practical Python code examples for adding content to Pinecone and executing searches, along with best practices and optimization tips.