Definition
The automated process by which an encoder model transforms raw data into high-dimensional vector embeddings that preserve semantic relationships and latent features, serving as the foundational logic for similarity search in RAG pipelines.
In AI, this refers to neural feature extraction for vector spaces, not data visualization or UI design.
"A Multidimensional Map—where synonyms are physical neighbors regardless of their spelling or language."
- Vector Embeddings(Output)
- Contrastive Learning(Training Methodology)
- Cosine Similarity(Evaluation Metric)
- Dimensionality Reduction(Optimization Technique)
Conceptual Overview
The automated process by which an encoder model transforms raw data into high-dimensional vector embeddings that preserve semantic relationships and latent features, serving as the foundational logic for similarity search in RAG pipelines.
Disambiguation
In AI, this refers to neural feature extraction for vector spaces, not data visualization or UI design.
Visual Analog
A Multidimensional Map—where synonyms are physical neighbors regardless of their spelling or language.