What is Embeddings?
ML Fundamentals
Embeddings — Dense numerical vector representations of text, images, or other data that capture semantic meaning. Similar items have vectors that are close together in the embedding space.
FAQ
What are embeddings?
Numerical vectors that represent the meaning of text. Similar sentences get similar vectors, enabling semantic search.
Which embedding model should I use?
OpenAI text-embedding-3-small for ease, or open-source models like BGE, E5, or GTE for privacy and cost savings.
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