OpenCLIP - LanceDB

We support CLIP model embeddings using the open source alternative, open-clip which supports various customizations. It is registered as open-clip and supports the following customizations:

Parameter	Type	Default Value	Description
`name`	`str`	`"ViT-B-32"`	The name of the model.
`pretrained`	`str`	`"laion2b_s34b_b79k"`	The name of the pretrained model to load.
`device`	`str`	`"cpu"`	The device to run the model on. Can be `"cpu"` or `"gpu"`.
`batch_size`	`int`	`64`	The number of images to process in a batch.
`normalize`	`bool`	`True`	Whether to normalize the input images before feeding them to the model.

This embedding function supports ingesting images as both bytes and urls. You can query them using both text and other images.

LanceDB supports ingesting images directly from accessible links.

Now we can search using text from both the default vector column and the custom vector column Because we’re using a multimodal embedding function, we can also search using images

OpenAI Sentence Transformers

⌘I