The Embedding API allows you to generate high-quality vector embeddings from any form of data including text, images, audio, and documents. This powerful tool converts your data into numerical representations that capture semantic meaning, making it perfect for similarity search, recommendation systems, clustering, and AI applications.
Generate embeddings from text, images, audio, and documents
Support for multiple data formats and input types
High-dimensional vector representations with semantic understanding
Optimized for similarity search and machine learning tasks
Batch processing support for multiple inputs
Compatible with popular vector databases and AI frameworks
import { JigsawStack } from "jigsawstack";const jigsaw = JigsawStack({ apiKey: "your-api-key" });const response = await jigsaw.embedding({ "text": "Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway", "type": "text"})