Vald
Vald is an open-source, highly scalable distributed vector search engine known for its asynchronous auto-indexing and ability to efficiently handle large-scale vector data in real time, making it suitable for demanding vector search applications.
About this tool
Vald
Vald is an open-source, highly scalable distributed vector search engine designed for fast approximate nearest neighbor (ANN) search on dense vector data. Built on a cloud-native architecture, Vald enables efficient, real-time large-scale vector search operations.
Features
- Highly Scalable Distributed Architecture: Designed for horizontal scaling across memory and CPU, capable of handling billions of feature vectors.
- Fast ANN Search: Utilizes the NGT (Neighborhood Graph and Tree) algorithm for efficient approximate nearest neighbor searches.
- Asynchronous Auto-Indexing: Supports non-blocking, distributed auto-indexing, allowing the system to remain operational during indexing processes.
- Automatic Index Backup: Offers auto-backup capabilities using object storage or persistent volumes for disaster recovery.
- Distributed Indexing: Distributes vector indices across multiple agents, each storing different parts of the index.
- Index Replication and Rebalancing: Stores index replicas on multiple agents and can automatically rebalance replicas if an agent fails.
- Customizable Ingress/Egress Filtering: Provides configurable filters for data input/output, adaptable to gRPC interfaces.
- Multi-language SDKs: Supports SDKs for Golang, Java, Node.js, and Python.
- Highly Customizable: Allows configuration of vector dimensions, number of replicas, and other advanced settings.
- Easy Installation: Designed for quick and simple deployment.
Category
- Vector Database Engines
Tags
- open-source
- distributed
- scalable
- real-time
Pricing
No pricing information was provided; Vald is open-source.
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