AI & MLembedding
Embedding
Also known asVector Embedding
A dense vector representation of text (or other data) in a continuous high-dimensional space where semantically similar items are closer together. Embedding models (OpenAI ada-002, Cohere, sentence-transformers) convert text to vectors of 256-3072 dimensions. Used in RAG for semantic search, in recommendation systems, and for clustering. Stored and queried via vector databases.
Related terms
2AI & ML
RAG (Retrieval-Augmented Generation)
An AI architecture that combines LLMs with external knowledge retrieval. Instead of relying solely on training data, RAG...
AI & ML
Vector Database
A database optimized for storing and querying high-dimensional vector embeddings using similarity search (cosine distanc...