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Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

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Using the `unsplash-images` collection: https://playground.getvectorai.com/collections/?collection=unsplash-images result for: ```vi_client.search_image('unsplash-images', image_url, ['image_url_vector_'])``` with `image_url` as: https://www.rover.com/blog/wp-content/uploads/2020/06/siberian-husky-4735878_1920.jpg https://davidkerrphotography.co.nz/wp-content/uploads/2016/10/Slide01.jpg identical result for both: ``` {'count': 17506, 'results': [{'_clusters_': {}, '_id': 'tLUgvVaCQnY', '_search_score': 0.6311334, 'dictionary_label_1':...

With Python's type-safety is difficult but it can be implemented through smart use of Python decorators. An interesting example can be seen below: ``` import itertools as it @parametrized def...

enhancement

Show_results is difficult to compare with images at scale. This can be improved by showing results as a grid instead.

Find a robust way for automatic image/audio detection in show_json.

When chunking, we need to add support for get_field and set_field using the following schema: get_field('doc.0.product_id') -> should return the first chunk whereas get_field('doc.1.product_id') should return the second chunk. ('doc.product_id')...

This should go into the analytics notebook given.