Qdrant (read: quadrant) is a vector similarity search engine. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications. Qdrant is written in Rust, which makes it fast and reliable even under high load.

Along with the huge and increasing demand for artificial intelligence (AI) applications, there's a complementary hunger for infrastructure and supporting software that make AI applications possible. From data preparation and training to deployment and beyond, a number of start-ups have arrived on the scene to guide you through the nascent world of MLops. Here's a look at some of the more interesting ones that will make your AI initiatives more successful. Weights & Biases is becoming a heavyweight presence in the machine learning space, especially among data scientists who want a comprehensive and well-designed experiment tracking service. Firstly, W&B has out-of the box integration with almost every popular machine learning library (plus it's easy enough to add custom metrics).

Along with the huge and increasing demand for AI applications, there's a complementary hunger for infrastructure and supporting software that make AI applications possible. From data preparation and training to deployment and beyond, a number of startups have arrived on the scene to guide you through the nascent world of MLops. Here's a look at some of the more interesting ones that will make your AI initiatives more successful. Weights & Biases is becoming a heavyweight presence in the machine learning space, especially among data scientists who want a comprehensive and well-designed experiment tracking service. Firstly, W&B has out-of the box integration with almost every popular machine learning library (plus it's easy enough to add custom metrics).