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I am exploring Chaquopy for running Python code on Android and came across the need to use FAISS (Facebook AI Similarity Search) in my application. However, I couldn't find any clear documentation or support on installing and running FAISS in an Android environment using Chaquopy.
FAISS is crucial for my project as it allows storing and querying embedding vectors with high scalability. Specifically:
It can handle embedding vectors for hundreds of thousands of images, making it highly efficient for large-scale applications.
FAISS enables real-time querying for face matching, often returning results within 1–2 seconds, which is a key requirement for my application.
The text was updated successfully, but these errors were encountered:
This package contains native components, so it would have to be built into an Android wheel file. If you'd like to try doing this yourself, follow the instructions here. And if you're successful, please make a pull request so we can add the package to the public repository.
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Hi Team,
I am exploring Chaquopy for running Python code on Android and came across the need to use FAISS (Facebook AI Similarity Search) in my application. However, I couldn't find any clear documentation or support on installing and running FAISS in an Android environment using Chaquopy.
FAISS is crucial for my project as it allows storing and querying embedding vectors with high scalability. Specifically:
It can handle embedding vectors for hundreds of thousands of images, making it highly efficient for large-scale applications.
FAISS enables real-time querying for face matching, often returning results within 1–2 seconds, which is a key requirement for my application.
The text was updated successfully, but these errors were encountered: