Capabilities
Embeddings
Capabilities
Embeddings
Generate text and vector embeddings with the Bytez API.
The Bytez API provides models for generating embeddings for words, phrases, and sentences. These embeddings can be used for tasks like semantic search, text classification, clustering, and more.
Text Embeddings
Vector Embeddings
For feature extraction, you can use the model mixedbread-ai/mxbai-embed-large-v1. See code below:
Use Cases
Text and vector embeddings power tasks like information retrieval, clustering, vector database storage, and text classification by capturing semantic relationships. Bytez provides feature extractor models and sentence similarity models tailored for these applications.