What is an Embedding?
An embedding is a dense vector (list of numbers) that represents a piece of text in a high-dimensional space. Texts with similar meanings have embeddings that are close together in this space.How Embeddings Work
1.Input — A sentence, paragraph, or document is fed into an embedding model
2.Processing — The model analyzes the semantic meaning of the text
3.Output — A fixed-length vector (e.g., 1536 dimensions) is produced
Use Cases
•Semantic Search — Find documents similar in meaning, not just keyword matches
•Recommendation Systems — Suggest related content based on similarity
•Clustering — Group similar documents together automatically
•RAG Systems — Power retrieval in AI chatbots and Q&A systems