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LanceDB
Shares tags: build, data, vector db
AI Tool
Unlock the Power of Your Data with Vald
Seamlessly Build Workflows and Manage Vast Datasets with a Scalable Vector Database
Visit Vald (vdaas)→
BuildDataVector DB
1Effortlessly scale to handle billions of data points with cloud-native architecture.
2Experience uninterrupted operations with automatic asynchronous indexing.
3Integrate custom logic into your search processes for tailored results.
overview
What is Vald?
Vald is a powerful vector database designed to enhance data workflows by allowing for rapid, approximate nearest neighbor searches across a multitude of data types. Its cloud-native design ensures that your applications can scale efficiently to meet the demands of modern data processing.
- 1Cloud-native architecture for high scalability
- 2Optimized for billions of feature vectors
- 3Native Kubernetes integration for easy deployment
features
Key Features of Vald
Vald comes equipped with advanced capabilities that are essential for developers and enterprises looking to build efficient search and recommendation systems. With customizable filtering options and support for major APIs, it integrates seamlessly into your existing systems.
- 1Custom ingress and egress filters for tailored search logic
- 2Supports gRPC and REST APIs for easy integration
- 3Client libraries available for Go, Java, Node.js, and Python
use cases
Versatile Applications
From recommendation engines to AI-driven analytics, Vald is designed to handle diverse unstructured and multimodal data, making it ideal for industries requiring efficient data retrieval. Benefit from high-performance searches in areas like image recognition and voice search.
- 1Image and video processing for enhanced user experiences
- 2Speech and text search capabilities for fast querying
- 3Adaptable to various data types including audio and binary data
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Frequently Asked Questions
+What types of data can Vald handle?
Vald can manage a wide range of unstructured and multimodal data types, including images, videos, text, audio, and binary data.
+How does Vald ensure data availability during indexing?
Vald features automatic asynchronous indexing which allows the database to maintain availability, even while new data is being indexed.
+Who can benefit from using Vald?
Vald is ideal for enterprises and development teams focused on building scalable AI, search, and recommendation systems that require high-performance distributed vector search.