Vald is a scalable distributed vector search engine designed for developers looking for robust solutions in the IT sector. Built on cloud-native architecture, it utilizes the NGT algorithm for fast approximate nearest neighbor searches, enabling efficient handling of billions of feature vectors. The platform offers automatic vector indexing, index backup, and horizontal scaling, making it suitable for various applications across industries. Its customizable ingress/egress filters can seamlessly integrate with gRPC interfaces, ensuring adaptability to different project needs.

This subscription-based tool caters to a wide range of users, including mid-size businesses, enterprises, and startups. Vald's auto backup feature leverages object storage or persistent volumes for disaster recovery, enhancing data security. It supports multiple programming languages and integrates well with popular platforms like Docker, Kubernetes, and Python. With comprehensive documentation available for training, Vald stands out as a powerful solution for developers focused on vector databases.