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/
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 databaseβ.
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
Fast Open-Source Search & Clustering engine Γ for Vectors & Arbitrary Objects Γ in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram π
An index of algorithms for learning causality with data
Pytorch domain library for recommendation systems
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Minimal reproduction of OneRec
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications