Mar 2
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Search is no longer just about matching keywords. In this video, we break down the difference between Fuzzy Search and Vector Search (Semantic Search) — and explain exactly when to use each one. You’ll learn: What fuzzy search is (Levenshtein distance & typo tolerance) What vector search is (embeddings & cosine similarity) Why keyword search fails in modern AI systems When to use fuzzy search vs vector search How hybrid search (BM25 + vectors) powers modern RAG systems Real-world examples from e-commerce, chatbots, and AI applications If you're building: AI chatbots RAG systems Search engines Knowledge base applications This video will help you choose the right search strategy. Perfect for developers, AI engineers, and anyone learning modern AI system design.