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.
Annuaire de skills
Découvrez des skills réutilisables pour les AI agents.
Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.
Résultats de recherche: scalability
Annuaire en anglaisEmpowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions
The undetected self-hosted browser automation platform. Powered by Camoufox (Firefox) for 0% detection rates. Built for speed, privacy, and scalability.
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Skytable is a modern scalable NoSQL database with BlueQL, designed for performance, scalability and flexibility. Skytable gives you spaces, models, data types, complex collections and more to build powerful experiences
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
CNCF sandbox project, an open source distributed time-series database with high concurrency, high performance, and high scalability
GraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a Python wrapper for unmatched speed, security, and scalability. It enables reliable multi-agent workflows with minimal CPU and memory usage, making it production-ready for real-world enterprise environments.
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Design Microservices Architecture with Patterns & Principles. Design Microservices Architecture with Design Patterns, Principles and the Best Practices. How to handle millions of request with designing system for high availability, high scalability, low latency, and resilience to network failures on distributed microservices.
Terraform-based AWS infrastructure repository featuring both modular and non-modular implementations. Covers EC2, VPC, RDS, ECS, S3, IAM, CloudWatch, CI/CD automation with Jenkins and GitHub Actions. Built for learning, reuse, and scalability.