Glossary
Embeddings
Definition
Embeddings are lists of numbers that represent the meaning of text, images or other data, so that similar items sit close together and can be found by similarity search.
Why it matters when you’re buying
Embeddings power semantic search, recommendations and RAG. The embedding model you pick affects search quality, and changing it later usually means processing all your content again, so choose it deliberately.
How it relates to other terms
Vector databases store and search embeddings, and RAG uses that search to find passages for a model to read.
Where to go next
- AI & ML Platforms: news, companies and community questions
- How to evaluate AI & ML Platforms vendors: criteria, questions to ask and red flags
- RAG and vector search: the latest stories and threads on this topic
Written by Techarda editors · Updated . Think a definition is wrong or missing something? Email engage@techarda.com. All terms.