Embedefy simplifies the process of obtaining embeddings, making it easier to enhance a wide range of AI applications.
Embedefy is a platform that democratizes access to embeddings, enabling developers and data scientists to integrate powerful AI capabilities into their applications with ease. Embeddings represent data in a vector space where the proximity of vectors indicates their relatedness. This technology is foundational for various applications in artificial intelligence, such as semantic search, recommendations, and anomaly detection.
To retrieve embeddings, you can easily send your text inputs to the Embeddings API endpoint using different programming languages such as cURL, JavaScript, or Python. Here is an example with cURL:
Additionally, you can leverage the Embedefy PostgreSQL Extension for querying your database using embeddings, enhancing your data retrieval strategies.
While generating embeddings is typically cost-effective, large datasets—such as millions of products or reviews—can lead to substantial expenses. It’s important to evaluate the volume of data you plan to work with and consider it when implementing embeddings in your applications.
Yes, Embedefy offers free access to certain features, allowing users to experiment with embeddings without incurring costs.
Embedefy supports a variety of embedding models, including "e5-small-v2" and "bge-small-en-v1.5". Check the documentation for an updated list of all available models.
You can use open-source models to generate embeddings locally or within your preferred infrastructure by following the guidelines provided in our documentation.
For more detailed inquiries, feel free to visit our dedicated FAQ page or reach out to our support team!
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