Embed
Create a dense vector representation of the provided input text.
Request
The text input for which embeddings are to be generated. This can be any string of text whose semantic meaning you wish to capture in a dense vector format, enabling advanced search and analysis capabilities.
The modality of the input data. Specifies the type of data to be processed, with “text” as the default modality.
The model used for generating embeddings. Specifies the AI model, with “sentence-transformers/all-MiniLM-L6-v2” as the default.
Response
The generated embedding for the input text. This is a dense vector representation that captures the semantic meaning of the input, allowing for similarity comparisons and enhanced search functionality.
The time taken to generate the embedding, measured in milliseconds. Provides insight into the processing time for the embedding generation.