What is Embedding?
A numerical representation of text that captures its meaning as a vector.
Definition
An embedding is a way to represent text (words, sentences, or documents) as a list of numbers (vector) that captures semantic meaning. Similar concepts have similar embeddings, making it possible to measure how related two pieces of text are. Embeddings are fundamental to search, recommendation systems, and RAG applications.
💡 Example
The embeddings for "dog" and "puppy" would be very close together in vector space, while "dog" and "refrigerator" would be far apart. This allows AI systems to understand that a search for "puppy care" is related to "dog health tips."
Related concepts
What is Embedding?
An embedding is a way to represent text (words, sentences, or documents) as a list of numbers (vector) that captures semantic meaning. Similar concepts have similar embeddings, making it possible to measure how related two pieces of text are. Embeddings are fundamental to search, recommendation systems, and RAG applications.
How does Embedding work in practice?
The embeddings for "dog" and "puppy" would be very close together in vector space, while "dog" and "refrigerator" would be far apart. This allows AI systems to understand that a search for "puppy care" is related to "dog health tips."