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What is BilberryDB?

BilberryDB stands out as a powerful vector-database platform specifically designed for enterprises, aimed at simplifying the creation of AI applications that can handle a variety of multimodal data, such as images, videos, audio files, 3D models, tabular information, and text, all integrated into a cohesive system. It provides fast similarity search and retrieval capabilities utilizing embeddings, supports few-shot or no-code workflows that allow users to create efficient search and classification functionalities without needing large labeled datasets, and offers a developer SDK, including TypeScript, along with a visual builder to aid non-technical users. The platform emphasizes rapid query responses in less than a second, facilitating the seamless integration of diverse data types and enabling the quick deployment of apps that incorporate vector-search features ("Deploy as an App"), which allows organizations to build AI-driven systems for tasks such as search, recommendations, classification, or content discovery without having to develop their own infrastructure from scratch. Additionally, its extensive functionalities position it as an excellent option for businesses aiming to harness AI technology in a productive and effective manner. Companies can thus confidently utilize BilberryDB to stay ahead in the competitive landscape of AI-driven solutions.

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

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

BilberryDB

Date Founded

2016

Company Location

France

Company Website

bilberrydb.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

Categories and Features

Categories and Features

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