Definition
Embedding
An Embedding is a representation of real-world data (words, sentences, images, user profiles) as high-dimensional vectors of real numbers. Embeddings place semantically similar concepts close to each other in vector space.
Frequently Asked Questions
How are embeddings generated?▼
They are learned by training neural networks on massive prediction tasks (like word prediction or contrastive image-text alignment).
How do you search embeddings?▼
Using similarity metrics like cosine similarity or dot product in a vector database.
Quick Facts
- CategoryFoundational AI
- Key ApplicationSemantic search, translation models, recommendation engines, and RAG pipelines
Coverage Trend12 Weeks
12w agoToday
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