Why We Need Vector Databases | What Are Vector Embeddings & How They Work

In this video, we’ll dive deep into the world of Vector Databases — understanding why we need them, what vector embeddings are, and how they actually work.

You’ll learn:
✅ The concept of vector embeddings in AI and machine learning
✅ How vector similarity search powers tools like ChatGPT and recommendation systems
✅ Why traditional databases can’t handle semantic or unstructured data efficiently
✅ How Vector Databases like Pinecone, FAISS, or Milvus store and retrieve embeddings

By the end, you’ll have a clear picture of how vectors form the backbone of modern AI applications — from semantic search to generative AI.

📚 Perfect for beginners and professionals who want to understand AI data storage at a deeper level.