Embedefy Features

Embedefy Features. Embeddings represent data in a vector space, with the distance between vectors indicating their relatedness.

Embedefy's Core Features

Embeddings that are open-source, generous usage limits, seamless AI application integration, and a robust infrastructure.

Embedefy's Use Cases

Applications include Retrieval-Augmented Generation (RAG), model fine-tuning, semantic search, clustering, recommendation systems, anomaly detection, classification, and more.