If you've ever built search features that feel limited by keywords, semantic search changes everything. It finds meaning, not just matches. I created this video course to walk you through it step by step, from understanding embeddings and cosine similarity to chunking text effectively, generating consistent embeddings, picking the right vector stores, and tuning a full pipeline with metadata for real-world use.
It's practical, hands-on, and designed for clarity-whether you're prototyping or scaling to production.
(Thumbnail attached for a quick preview.)