txtai-object-storage.py

import urllib

from IPython.display import Image

# Get an image
request = urllib.request.urlopen("https://raw.githubusercontent.com/neuml/txtai/master/demo.gif")

# Upsert new record having both text and an object
embeddings.upsert([("txtai", {"text": "txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.", "object": request.read()}, None)])

# Query txtai for the most similar result to "machine learning" and get associated object
result = embeddings.search("select object from txtai where similar('machine learning') limit 1")[0]["object"]

# Display image
Image(result.getvalue(), width=600)