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Embedding

Also known as: Vector, Vector Representation, Embeddings

In one sentence

A list of numbers that represents the meaning of text. Similar meanings have similar numbers, so computers can compare by 'closeness'.

Explain like I'm 12

Turn words into coordinates on a map. Words with similar meanings sit close together, so 'cat' is near 'kitten' but far from 'database'.

In context

Used in search (find similar text), RAG (retrieve relevant docs), and recommendations (find similar items).

See also

RAG (Retrieval-Augmented Generation)Vector Database

Related Guides

Learn more about Embedding in these guides:

Vector Database Examples: Real-World Use Cases and Code

Intermediate

Practical examples of vector databases in action: semantic search, chatbot memory, recommendation systems, and more with code snippets.

9 min read

Embeddings & RAG Explained (Plain English)

Intermediate

How AI tools search and retrieve information from documents. Understand embeddings and Retrieval-Augmented Generation without the math.

11 min read

Vector Databases 101: Storage, Indexing, and Search

Intermediate

Deep dive into vector databases. How they work, when to use them, and how to choose the right one for your needs.

11 min read