A list of numbers (vector) representing the meaning of text, images, or other content in a form that enables mathematical comparison. Two pieces of text with similar meanings will have similar embeddings, allowing systems to find semantically related content even without shared keywords. Embeddings power RAG retrieval: when a user asks a question, the system converts it to an embedding and finds stored documents with nearby embeddings.
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See: Semantic search; Vector; Vector database