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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 database​.

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

A Python implementation of LightFM, a hybrid recommendation algorithm.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Accelerated deep learning R&D

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

fastFM: A Library for Factorization Machines

[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"

recommender system tutorial with Python

Java-Based Context-aware Recommendation Library