Use a pre-made AI framework to power your website or app with search capabilities.
Automations like: a search bar on your e-commerce site that finds products by description or image.
This saves you time and resources compared to custom-building a search function from scratch. The framework already includes tried-and-true AI search components.
"A founder of a small e-commerce site wants to let customers easily find products with a visually appealing description. They use this framework to integrate an AI-powered search bar, which saves them around 2 days of development time. The search bar goes live in a week."
Starters with basic Python knowledge can pick up the basics of this framework quickly.
Senior developers will appreciate its flexibility and extensibility for more complex search tasks.
The main confusion is that this framework is 'just for search', but it has many more capabilities and integrations, such as language model workflows and orchestration.
Creates intelligent search and AI workflows by turning text data into smart, semantically-aware indexes that can be queried conversationally
from txtai import Embeddings
embeddings = Embeddings({'path': 'sentence-transformers/all-MiniLM-L6-v2'})
embeddings.index([(0, 'first document'), (1, 'second document')])
results = embeddings.search('find documents about X', limit=3)Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
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