Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Product
embedding
An embedding maps text or media into a dense vector so similarity and retrieval can be computed geometrically.
Machine Learning
Feature Vector
A numerical representation of an object's characteristics used in machine learning.
machine-learning
graph-embedding
A technique for transforming graph-structured data into a continuous vector space while preserving its properties.
Product
softmax
Softmax converts a vector of logits into a probability distribution over classes or tokens.
Machine Learning
Support Vector Machine (SVM)
A supervised learning model used for classification and regression tasks.
Machine Learning
support-vector-machine
A supervised learning algorithm used for classification and regression tasks.
Machine Learning
support-vector-regression
An extension of support vector machines that predicts continuous values instead of categories.
Safety
vector
A vector is a fixed-length array of numbers; embeddings represent meaning as vectors for search and clustering.
Data
Vector database
A database or engine optimized for similarity search over embedding vectors, typically with metadata filters and hybrid lexical+vector queries for production RAG.
Retrieval
Vector search
Vector search retrieves semantically similar items by comparing embedding vectors rather than relying only on exact keyword overlap.