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What is Zilliz Cloud?

While working with structured data is relatively straightforward, a significant majority—over 80%—of data generated today is unstructured, necessitating a different methodology. Machine learning plays a crucial role by transforming unstructured data into high-dimensional numerical vectors, which facilitates the discovery of underlying patterns and relationships within that data. However, conventional databases are not designed to handle vectors or embeddings, falling short in addressing the scalability and performance demands posed by unstructured data. Zilliz Cloud is a cutting-edge, cloud-native vector database that efficiently stores, indexes, and searches through billions of embedding vectors, enabling sophisticated enterprise-level applications like similarity search, recommendation systems, and anomaly detection. Built upon the widely-used open-source vector database Milvus, Zilliz Cloud seamlessly integrates with vectorizers from notable providers such as OpenAI, Cohere, and HuggingFace, among others. This dedicated platform is specifically engineered to tackle the complexities of managing vast numbers of embeddings, simplifying the process of developing scalable applications that can meet the needs of modern data challenges. Moreover, Zilliz Cloud not only enhances performance but also empowers organizations to harness the full potential of their unstructured data like never before.

What is AiDB?

Belva's AiDB stands out as a state-of-the-art database specifically designed for artificial intelligence, greatly enhancing the functionality of large language models by automatically creating relational mappings, which elevate the model's intelligence with each data input and utilize fewer context tokens for even better results, all without the need for extra fine-tuning. In just 15 lines of code, you can build a knowledge base that not only enhances AI productivity but also reduces context token usage and easily adapts to increasing requirements. AiDB can be deployed in a mere five minutes, presenting a more effective alternative to conventional custom RAG systems. With just one API key, AiDB streamlines the entire process. By opting for AiDB, you enable your LLM to achieve more with minimal code. At Belva, we have revolutionized the interaction between AI and data. Our cutting-edge indexing and relational mapping techniques drastically reduce the necessity for context windows. Integrating AiDB into your technology infrastructure will lead to significant improvements in your AI's overall performance. If your AI depends on or benefits from a knowledge base, incorporating AiDB is crucial. Enhanced performance leads to minimized resource waste during scaling, ensuring your AI functions at its optimal level. Step into the future of AI with AiDB, and unlock extraordinary capabilities that can redefine your approach to artificial intelligence. With this advancement, your AI will be poised to meet challenges beyond the current landscape.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
ChatGPT
ChatGPT Plus
ChatGPT Pro
Cohere
Coral
Google Cloud Platform
HoneyHive
Hugging Face
IBM watsonx.data
Java
Milvus
OpenAI
PyTorch

Integrations Supported

Belva Engineer

API Availability

Has API

API Availability

Pricing Information

$0
Zilliz Cloud on AWS
Compute Unit (CU) - $0.259 / hour
Storage - $0.025 / GB per month

Zilliz Cloud on Google Cloud
Compute Unit (CU) - $0.215 / hour
Storage - $0.02 / GB per month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Zilliz

Date Founded

2017

Company Location

United States

Company Website

zilliz.com

Company Facts

Organization Name

Belva

Company Location

United States

Company Website

www.belva.ai/aidb

Categories and Features

Anomaly Detection

Not specified

Context Engineering

Not specified

Database

Backup and Recovery
Data Migration
Data Search
Data Security
Queries

Vector Databases

Not specified

Categories and Features

Vector Databases

Not specified

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