Embedefy Features

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

Embedefy's Core Features

Open-source embeddings, fair usage limits, integration with AI applications, flexible infrastructure.

Embedefy's Use Cases

Retrieval-Augmented Generation (RAG), fine-tuning, semantic search, clustering, recommendations, anomaly detection, classification, and more.

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