Vector Stores & RAG
Master vector databases, embeddings, and retrieval-augmented generation for powerful AI applications
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Modules
Understanding Vector Embeddings
Learn how AI represents text, images and other data as vectors
Understanding Vector Embeddings
What are embeddings?
Vector embeddings transform words, images, and other data into numerical vectors that capture meaning! Think of them as AI's way of understanding the world.
Vector embeddings transform words, images, and other data into numerical vectors that capture meaning! Think of them as AI's way of understanding the world.
What Does Semantic Relationship Mean?
Words with similar meanings are closer in the vector space. For example:
- "King" is closer to "Queen" than to "Banana"
- "Happy" is closer to "Joyful" than to "Sad"
Why Are Embeddings Powerful?
🔍 Semantic Search: Find similar content by meaning
🤖 AI Understanding: Helps models understand context
🔗 Multi-Modal: Works with text, images, audio, and more