gasparian/lsh-search-go
Locality-sensitive hashing index implementation [EXPERIMENT]
This is a Go-based library for efficiently finding similar data points within a very large dataset. It takes a collection of data points (represented as vectors) and a query vector, then quickly identifies the data points most similar to the query. This tool is designed for software developers building applications that require fast approximate nearest neighbor searches.
No commits in the last 6 months.
Use this if you are a developer building an application that needs to quickly find data points similar to a given query from a massive collection, and exact nearest neighbor accuracy is not strictly required.
Not ideal if you need perfectly exact nearest neighbor results or have extremely tight memory constraints for your search index.
Stars
10
Forks
1
Language
Go
License
MIT
Category
Last pushed
Dec 25, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/gasparian/lsh-search-go"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.