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What is VATES?

VATES gives a company its own AI assistant, answering from material the company writes and controls. The knowledge base is plain text, not a numeric index, so any staff member can open it, read what is in it, and change a line without a rebuild. Every answer can be traced back to the entry it came from, which matters when someone asks why the assistant said what it said. It runs entirely from a browser, including on a phone: setup, knowledge editing, access controls, audit history and billing. Passkey sign-in, two-factor authentication, IP allowlisting and a tamper-evident audit log are standard rather than upgrades. Costs are prepaid and usage-based. No seats, no monthly plan, no cancellation fee — a USD 5.00 deposit is the minimum per top-up, and the service simply pauses when the balance runs out.

What is Amazon S3 Vectors?

Amazon S3 Vectors stands out as a groundbreaking cloud object storage solution designed specifically for the large-scale storage and querying of vector embeddings, offering an efficient and economical option for applications like semantic search, AI-based agents, retrieval-augmented generation, and similarity searches. It introduces a unique “vector bucket” category within S3, allowing users to organize vectors into “vector indexes” and store high-dimensional embeddings that represent diverse forms of unstructured data, including text, images, and audio, while facilitating similarity queries through specialized APIs, all without requiring any infrastructure setup. Additionally, each vector can incorporate metadata such as tags, timestamps, and categories, which supports attribute-based filtered queries. One of the standout features of S3 Vectors is its remarkable scalability; it can manage up to 2 billion vectors per index and as many as 10,000 vector indexes within a single bucket, while ensuring elastic and durable storage accompanied by server-side encryption options through SSE-S3 or KMS. This innovative solution not only streamlines the management of extensive datasets but also significantly boosts the efficiency and effectiveness of data retrieval for developers and businesses, ultimately transforming the way organizations handle large volumes of unstructured data. With its advanced capabilities, Amazon S3 Vectors is positioned to redefine data storage and retrieval methodologies in the cloud.

Media

Media

Integrations Supported

ChatGPT
Claude
Claude Duet
Claude for Legal
Mistral AI

Integrations Supported

Amazon Bedrock
Amazon OpenSearch Service
Amazon S3
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Mimasa AI

API Availability

Has API

API Availability

Has API

Pricing Information

$5 deposit, pay-as-you-go
Usage-based prepaid deposit. No subscription, no monthly minimum,
no cancellation fee. $5.00 minimum per top-up. Billed per request
from the balance. Current rates are listed on the pricing page.

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

STANDOUT Inc.

Date Founded

2024

Company Location

Japan

Company Website

vates.standout.jp/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/s3/features/vectors/

Categories and Features

Agentic AI

Not specified

Categories and Features

Object Storage

Not specified

Vector Databases

Not specified

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