jesterlabs/vexpresso
Vexpresso is a simple and scalable multi-modal vector database built with Daft
This tool helps data scientists, machine learning engineers, and researchers organize and search through various types of data, including text, images, and audio. It takes in your raw data (like documents, pictures, or sounds) and an embedding model, then lets you quickly find relevant items by searching with text or other media. This is ideal for anyone working with large, diverse datasets who needs to perform similarity searches.
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Use this if you need to efficiently find similar items across a collection of different data types, like matching images to text descriptions or finding related documents based on content.
Not ideal if you primarily work with simple keyword searches on structured data or do not need to compare data based on its content similarity.
Stars
8
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 12, 2024
Commits (30d)
0
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