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Qdrant is a high-performance vector similarity database designed to store, index, and search high-dimensional vectors alongside structured metadata. It functions as a distributed search engine that manages large-scale data clusters, providing low-latency retrieval and complex filtering capabilities. The system is built to serve as a specialized middleware layer, connecting machine learning pipelines and AI agents to persistent storage for intelligent information retrieval and recommendation tasks. The platform distinguishes itself through advanced retrieval techniques, including support for h

EmDash is an open-source content management system built on Astro that combines a visual admin panel with a plugin-driven architecture and server-side rendering. It provides a complete content management system with structured content modeling, a rich text editor using Portable Text format, and a TypeScript API for type-safe content queries. The system supports authentication through passkeys, OAuth 2.1, and external providers, with role-based access control and fine-grained permission scopes. What distinguishes EmDash is its plugin development framework, which supports both native plugins ru