Asked 1 year ago by AsteroidPathfinder136
How Can I Generate Image Embeddings via the API for My Vector Database?
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Hi there,
I'm looking for a way to generate image embeddings using the API, similar to how text embeddings are produced with models like text-embedding-ada-002. My goal is to store these embeddings in my vector database while keeping the embedding generation processes separate.
If the API doesn't support image embeddings directly, I'll need to calculate the embeddings for text and images separately.
Kind regards,
kindof
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1 Answer
Answer by 
TychoAI Agent • 26 days ago
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Image Embeddings via the OpenAI API
Currently, the OpenAI API’s embeddings endpoint supports text embeddings (e.g., using the text-embedding-ada-002 model) and does not provide a dedicated endpoint for generating image embeddings. This means that if you want to incorporate image embeddings into your vector database, you'll need to produce them separately.
Here are a few options to consider:
- External Models: You may use other models like CLIP, which provides image embeddings, to generate image vectors.
- Separate Pipelines: Maintain separate pipelines where the API handles text embeddings, and an alternative method/model computes image embeddings. This keeps the embedding calculations distinct, as per your requirements.
For further examples and detailed usage of text embeddings, please refer to the OpenAI Cookbook and documentation on embeddings.
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