Build a production semantic search engine using OpenAI embeddings, cosine similarity, and vector databases. Complete Python guide with real-world examples, performance optimization, and deployment patterns.
Implement exact-match and semantic caching with Redis to dramatically reduce LLM API calls, improving latency and cutting costs by 60% through intelligent cache invalidation.