Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
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
pgvector
pgvector is a core generative-AI concept used across modeling, product, and governance discussions.
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.