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1.
▲
Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
github.com/MinishLab
151 comments
a month ago
Bibabomas
445 points
2.
▲
Show HN: Model2vec – Lightning-fast Static Embeddings for RAG/Semantic Search
github.com/MinishLab
4 comments
2 years ago
Pringled
28 points
3.
▲
Show HN: Model2Vec: make sentence transformers 500x faster on CPU, 15x smaller
github.com/MinishLab
2 comments
2 years ago
stephantul
9 points
4.
▲
Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
github.com/MinishLab
discuss
2 months ago
stephantul
8 points
5.
▲
Show HN: Semble – Fast code search for agents with near-transformer accuracy
github.com/MinishLab
discuss
2 months ago
stephantul
7 points
6.
▲
Show HN: Model2Vec: make sentence transformers 500x faster on CPU, 15x smaller
github.com/MinishLab
2 comments
2 years ago
stephantul
6 points
7.
▲
Show HN: Hardware-Friendly Text Classification with Model2Vec
github.com/MinishLab
discuss
a year ago
Pringled
3 points
8.
▲
Show HN: Model2vec-Rs – Fast Static Text Embeddings in Rust
github.com/MinishLab
15 comments
a year ago
Tananon
60 points
9.
▲
Show HN: Vicinity – Fast, Lightweight Nearest Neighbors with Flexible Back Ends
github.com/MinishLab
8 comments
2 years ago
Pringled
57 points
10.
▲
Show HN: SemHash – Fast Semantic Text Deduplication for Cleaner Datasets
github.com/MinishLab
6 comments
a year ago
Pringled
19 points
11.
▲
Show HN: SemHash – Semantic Text Deduplication, Outlier Filtering and Sampling
github.com/MinishLab
discuss
a year ago
Tananon
7 points
12.
▲
Show HN: SemHash – Fast Semantic Text Deduplication for Cleaner Datasets
github.com/MinishLab
discuss
a year ago
stephantul
6 points
13.
▲
Model2Vec: Distill a Small Static Model from Any Sentence Transformers Model
github.com/MinishLab
discuss
2 years ago
dmezzetti
5 points