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Average Ratings 0 Ratings
Description
Belva's AiDB is an innovative database optimized for artificial intelligence, specifically tailored to enhance large language models by automatically generating relational maps that improve the model's intelligence with every new input, all while utilizing fewer context tokens and yielding superior outcomes without requiring additional tuning. With just 15 lines of code, you can establish a knowledge base that boosts AI capabilities, minimizes context token consumption, and easily adapts to increasing demands. The setup for AiDB takes only 5 minutes, making it a more efficient choice than custom retrieval-augmented generation systems. One API key is all you need to harness the power of AiDB. Transitioning to AiDB allows your language models to achieve more with minimal coding. At Belva, we have redefined the way artificial intelligence interacts with data. Thanks to our innovative indexing and relational mapping techniques, traditional context windows become almost unnecessary. By incorporating AiDB into your technology stack, you will witness remarkable improvements in your AI's performance. If your AI relies on or requires a knowledge base, AiDB is an essential addition. Enhanced efficiency translates to reduced resource wastage as you scale up operations, making AiDB an indispensable tool for modern AI solutions.
Description
Vald is a powerful and scalable distributed search engine designed for fast approximate nearest neighbor searches of dense vectors. Built on a Cloud-Native architecture, it leverages the rapid ANN Algorithm NGT to efficiently locate neighbors. With features like automatic vector indexing and index backup, Vald can handle searches across billions of feature vectors seamlessly. The platform is user-friendly, packed with features, and offers extensive customization options to meet various needs.
Unlike traditional graph systems that require locking during indexing, which can halt operations, Vald employs a distributed index graph, allowing it to maintain functionality even while indexing. Additionally, Vald provides a highly customizable Ingress/Egress filter that integrates smoothly with the gRPC interface. It is designed for horizontal scalability in both memory and CPU, accommodating different workload demands. Notably, Vald also supports automatic backup capabilities using Object Storage or Persistent Volume, ensuring reliable disaster recovery solutions for users. This combination of advanced features and flexibility makes Vald a standout choice for developers and organizations alike.
API Access
Has API
API Access
Has API
Integrations
Belva Engineer
Docker
Go
IBM watsonx.data
Java
Kubernetes
Node.js
Python
Integrations
Belva Engineer
Docker
Go
IBM watsonx.data
Java
Kubernetes
Node.js
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Belva
Country
United States
Website
www.belva.ai/aidb
Vendor Details
Company Name
Vald
Website
vald.vdaas.org