Embedefy

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Introduction:
Embeddings represent data in a vector space.
Added on:
Dec 11 2023
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Embedefy Product Information

What is Embedefy?

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

How to use Embedefy?

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

Embedefy's Core Features

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

Embedefy's Use Cases

#1

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

FAQ from Embedefy

Is your service really free?

Can your API be integrated with other platforms or services?

How can I run the embedding models on my own machines?

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Embedefy Website Traffic Analysis

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Aug 2023 - Jan 2025 All Traffic

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Embedefy: Embeddings represent data in a vector space.
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