This page demonstrates the integration with OpenAI's text embedding API. Enter some text below to generate an embedding vector.
Text embeddings are numerical representations of text that capture semantic meaning. They convert text into vectors of floating-point numbers, where texts with similar meanings have similar vectors. This allows for semantic search, clustering, and other NLP tasks.