I have jewellery dataset around 3000 products. Single product has around 15 images and details. I wanted to do the hybrid search so how to structure it and store the data in the vector DB?.
Have to store each image with same description? or is there a way to group the image and description based on the sku?.
@DudaNogueira
Instead of statically mentioning image1, image2. Is there an array of blob datatype?. Some of the product can have 3 images and other products can have more than that. So it will dynamic.
may be sku2 image 1 is closer than the sku1, image2. But i need a response grouping by the sku
response - [{sku1}, {sku2}, {sku3}]
or if there is a way to store multiple images dynamically under one sku. If the input images matches anyone of the image in the array should return the sku. this way the results will have unique data.
Or it has to be handled in the code?. retrieving 50 data and find unique value based on sku
Thanks @DudaNogueira. Actually i wanted to group the result based on sku. There is a group by option in weaviate. Now i’m store the images individually and group it by sku