Name | Version | Summary | date |
nseekfs |
1.0.2 |
High-performance exact vector similarity search with Rust backend |
2025-09-07 09:44:08 |
rudradb-opin |
1.0.0 |
RudraDB-Opin: Free relationship-aware vector database for learning and tutorials (100 vectors, 500 relationships) |
2025-09-06 09:47:27 |
fastembed-qwen3 |
0.7.3.post3 |
FastEmbed fork with Qwen3 embedding model support for Rose server |
2025-09-05 02:03:02 |
fastembed-gpu |
0.7.3 |
Fast, light, accurate library built for retrieval embedding generation |
2025-08-29 11:20:05 |
fastembed |
0.7.3 |
Fast, light, accurate library built for retrieval embedding generation |
2025-08-29 11:19:46 |
infinity-emb |
0.0.77 |
Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models and clip. |
2025-08-22 23:16:36 |
vector3 |
1.0.0 |
A flexible 3D vector math library supporting lower dimensions |
2025-08-04 06:05:04 |
vectorwrap |
0.4.0 |
Universal vector search wrapper for Postgres, MySQL, SQLite, DuckDB (pgvector, HeatWave, sqlite-vss, DuckDB VSS) |
2025-07-30 03:27:16 |
VecPosLib |
1.0.4 |
Library for vector calculations in Python |
2025-07-16 21:46:39 |
vector |
1.6.3 |
Vector classes and utilities |
2025-07-15 14:51:10 |
img2vec-pytorch-2 |
1.2.0 |
Use pre-trained models in PyTorch to extract vector embeddings for any image |
2025-02-28 23:48:27 |
tinyvecdb |
0.1.2 |
TinyVecDB is a high performance, lightweight, embedded vector database for similarity search. |
2025-02-27 00:09:54 |
marqtune |
0.2.7 |
Client for marqtune |
2025-02-19 15:25:46 |
marqo |
3.11.0 |
Tensor search for humans |
2025-02-13 03:13:49 |
vector-database-loader |
0.2.1 |
A generalized tool for currating and loading content into vector databases |
2025-02-11 15:54:24 |
qdrant-client |
1.13.0 |
Client library for the Qdrant vector search engine |
2025-01-17 10:11:42 |
py_canoe |
3.0.1 |
Python CANoe Package |
2024-12-11 02:02:21 |
JVectorGraph |
1.0.2 |
JVectorGraph |
2024-12-03 20:23:24 |
dimensia |
0.1.3 |
Dimensia is a Python library for managing document embeddings and performing efficient similarity-based searches using various distance metrics. |
2024-11-25 08:45:24 |
vsag |
0.1.2 |
VSAG Python Binding |
2024-11-11 10:34:47 |