Embedefy

Embeddings represent data in a vector space.

embeddingsvector spacerelatedness

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

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

To get embeddings, send your text inputs to the embeddings API endpoint with a chosen model.

Yes, Embedefy offers open-source embeddings for free.

Yes, Embedefy's API can be integrated with other platforms or services.

You can download the embedding models from HuggingFace and run them on your own machines.

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

To get embeddings, send your text inputs to the embeddings API endpoint with a chosen model.