| milvus-io/milvus |
25,219 |
|
0 |
0 |
about 2 years ago |
35 |
April 02, 2022 |
623 |
apache-2.0 |
Go |
| A cloud-native vector database, storage for next generation AI applications |
| qdrant/qdrant |
15,789 |
|
0 |
0 |
about 2 years ago |
0 |
|
212 |
apache-2.0 |
Rust |
| Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ |
| weaviate/weaviate |
15,498 |
|
0 |
14 |
2 months ago |
131 |
December 06, 2023 |
401 |
bsd-3-clause |
Go |
| Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database. |
| spotify/annoy |
11,776 |
|
180 |
93 |
over 2 years ago |
47 |
June 14, 2023 |
53 |
apache-2.0 |
C++ |
| Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk |
| vdaas/vald |
1,422 |
|
0 |
1 |
about 2 years ago |
132 |
December 06, 2023 |
17 |
apache-2.0 |
Go |
| Vald. A Highly Scalable Distributed Vector Search Engine |
| currentslab/awesome-vector-search |
1,143 |
|
0 |
0 |
over 2 years ago |
0 |
|
18 |
mit |
|
| Collections of vector search related libraries, service and research papers |
| tensorchord/pgvecto.rs |
986 |
|
0 |
0 |
about 2 years ago |
0 |
|
45 |
apache-2.0 |
Rust |
| Scalable Vector Search in Postgres. Revolutionize Vector Search, not Database. |
| lanterndata/lantern |
530 |
|
0 |
0 |
about 2 years ago |
0 |
|
31 |
other |
C |
| PostgreSQL vector database extension for building AI applications |
| yahoo/lopq |
512 |
|
0 |
0 |
about 7 years ago |
3 |
September 22, 2016 |
15 |
apache-2.0 |
Python |
| Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark. |
| alexklibisz/elastiknn |
347 |
|
0 |
2 |
about 2 years ago |
29 |
September 27, 2021 |
13 |
apache-2.0 |
Scala |
| Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms. |
