Learn AI with KodeKloud - How does a Vector Database work?

🧪Try Vector Database Hands-On Labs for Free - https://kode.wiki/46vlLjG Learn how Vector Databases are revolutionizing AI search and powering the next generation of intelligent applications! In this comprehensive video, we'll show you exactly how vector databases transform traditional keyword-based search into semantic understanding that actually comprehends meaning, not just matching words. Ready to build your own vector database system? Access our FREE interactive labs where you can experiment with real vector implementations, test different embedding strategies, and see semantic search in action! 🧪Try Vector Database Hands-On Labs for Free - https://kode.wiki/46vlLjG 🎯 What You'll Learn: • What are vector databases and why they're essential for modern AI • How embeddings transform text into searchable numerical representations • The magic behind 384-dimensional semantic space • Vector similarity scoring and threshold optimization • Critical chunking strategies for optimal retrieval • Real ChromaDB implementation walkthrough • Why traditional SQL databases fail with natural language queries Perfect for developers, AI engineers, and anyone building intelligent search systems! ⏰ Timestamps: 00:00 - The Problem with Traditional SQL Search 00:49 - How does a Vector Database work? 02:10 - What Are Embeddings? 03:08 - Understanding Vector Dimensions 03:50 - Scoring in Vector DB 05:05 - Chunk Overlap in Vector DB 06:02 - Lab Demo - Setting up the Environment 06:39 - Lab Demo - Problem in Traditional SQL Database 07:13 - Lab Demo - Embeddings 08:23 - Lab Demo - Similarity Search 09:13 - Lab Demo - ChromaDB 10:10 - Conclusion & Free Lab Access #VectorDatabase #AI #Embeddings #SemanticSearch #ChromaDB #Pinecone #ArtificialIntelligence #AITutorial #VectorEmbeddings #kodekloud