What are Vector Embeddings? - Definition & Meaning
Learn what vector embeddings are, how text and data are converted into numeric vectors for AI, and why they are essential for semantic search and RAG.
Vector embeddings are numeric representations of texts, images or other data. Similar content gets similar vectors. They enable semantic search, clustering and RAG.
What is What are Vector Embeddings? - Definition & Meaning?
Vector embeddings are numeric representations of texts, images or other data. Similar content gets similar vectors. They enable semantic search, clustering and RAG.
How does What are Vector Embeddings? - Definition & Meaning work technically?
Models: OpenAI text-embedding-3, Cohere, open source (sentence-transformers). Dimensions: 384 to 3072. Vector databases: Pinecone, pgvector, Weaviate.
How does MG Software apply What are Vector Embeddings? - Definition & Meaning in practice?
MG Software uses embeddings for semantic search in knowledge bases and RAG systems. We store embeddings in pgvector or dedicated vector DBs.
What are some examples of What are Vector Embeddings? - Definition & Meaning?
- A search function that finds by meaning instead of exact words.
- RAG: retrieve embeddings of docs, pass most relevant to LLM.
- Clustering support tickets by theme.
Related terms
Frequently asked questions
We work with this daily
The same expertise you're reading about, we put to work for clients.
Discover what we can doRelated articles
What is RAG? - Explanation & Meaning
Learn what Retrieval-Augmented Generation (RAG) is, how it grounds LLMs in real data, and why RAG is essential for reliable AI in 2026. Discover vector stores and production implementations.
What is Deep Learning? - Definition & Meaning
Learn what deep learning is: neural networks with multiple layers for image recognition, language processing and more.
What is an LLM? - Definition & Meaning
Learn what a Large Language Model (LLM) is, how ChatGPT and other models work, and why LLMs form the foundation for AI agents and chatbots.
AI Automation Examples - Smart Solutions with Artificial Intelligence
Explore AI automation examples for businesses. Discover how machine learning, NLP, and computer vision transform business processes and increase efficiency.