Local AI Glossary
What is Embedding?
Source: local-llm.net/glossary
A dense numerical vector representation of text (or images, audio, etc.) in a high-dimensional space where semantically similar items are close together. Embedding models convert text into fixed-size vectors used for semantic search, clustering, and RAG. Common embedding models for local use include nomic-embed-text and bge-large.
How Embedding fits in the local AI stack
Embedding is part of the broader local AI ecosystem. See the related guides, comparisons, and tools below to see how it applies in practice.
See also
- Full Local AI Glossary
- All learn topics
- What is Local AI?
- Quantization explained
- Hardware requirements
- How to choose a local LLM