AI Glossary
Embeddings
Embeddings turn text (or images, audio) into lists of numbers that capture meaning, so a computer can measure how similar two pieces of content are.
They’re the backbone of semantic search and retrieval-augmented generation: by embedding your documents and a user’s question into the same space, a system can find the passages that actually answer the question, even when they don’t share keywords.
Where we put this to work
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