finalfusion/reductive
Vector quantization
This is a developer tool for optimizing vector quantization. It takes numerical vector data and applies advanced algorithms to compress it efficiently, making it faster to search or process large datasets. Software engineers working on high-performance data systems would use this to improve the speed and memory footprint of vector-based operations.
7 stars and 3,955 monthly downloads. No commits in the last 6 months.
Use this if you are a software engineer building systems that require optimized compression and querying of high-dimensional vector data.
Not ideal if you are an end-user looking for a pre-built application or a non-technical solution for data analysis or search.
Stars
7
Forks
1
Language
Rust
License
Apache-2.0
Category
Last pushed
Dec 03, 2021
Monthly downloads
3,955
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/finalfusion/reductive"
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