qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A star delta has been computed for 62,678 of 63,382 tracked repositories in this period, and only those can be ranked in it.
A repository missing here has not been measured far enough back yet. That does not mean it did not move.
Star counts measured between 02:16 and 17:14 (BKK).
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
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.
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Examples for Recommenders - easy to train and deploy on accelerated infrastructure.
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
An easy-to-use framework for large scale recommendation algorithms.
valkey-search is a C++ module which extends valkey with vector search and secondary indexing capabilities. It enables users to index and query data stored in Valkey using complex queries with filters while maintaining high performance and scalability.
Pytorch domain library for recommendation systems
Better Github Star History charts, and repository recommendation engine
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
A recommender system for GitHub repositories based on Gorse provides personalized recommendations and similar repositories
That's all 12 repositories in this period.