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CapybaraDB

CapybaraDB is an AI-native database that makes building intelligent applications easy.

#automation
#productive forces
#database
#Efficient
#AI native
#MongoDB compatible
CapybaraDB

Product Details

CapybaraDB is an AI-native database designed to simplify data processing and storage with built-in AI capabilities. It unifies multiple storage types such as NoSQL, vector databases, and object storage into a single interface, eliminating the need for developers to manage multiple databases or complex pipelines. CapybaraDB provides automated data processing functions, such as media conversion to text, text chunking, embedding generation and vector indexing, etc., which greatly improves development efficiency. Its MongoDB compatibility allows it to benefit from a rich ecosystem and community support. CapybaraDB is positioned as an efficient, low-cost database solution for developers and enterprises who need to quickly build AI applications.

Main Features

1
Automatic data processing: Automatically complete complex tasks such as image conversion to text, text chunking, embedding generation, and vector indexing without manual processing.
2
Custom embedding: Developers can choose an embedding model for each JSON field, giving them flexible control over how text and images are processed.
3
Seamless nested fields: Supports the use of CapybaraDB extended JSON in any nested field to efficiently store and index complex data structures.
4
Media Storage: Store large media files directly in the database without having to deal with a separate object storage system.
5
Signed URL: Automatically generate a signed URL for each saved media file, making it easy and secure to retrieve and share stored media.
6
Asynchronous processing: Data processing occurs asynchronously in the background, ensuring users do not have to wait for embedding and indexing to complete.
7
MongoDB Compatible: Fully compatible with MongoDB and benefit from its rich ecosystem and community support.

How to Use

1
Visit https://www.capybaradb.co/ and register an account.
2
Create a new database instance in the CapybaraDB console.
3
Choose the appropriate embedding model and chunking strategy based on your needs.
4
Store data into the database in CapybaraDB extended JSON format.
5
Data query and retrieval are performed through the interface provided by CapybaraDB.
6
Securely share and access stored media files with signed URLs.
7
Adjust parameters (e.g. tile size, embedding model) as needed to optimize performance.
8
Leverage MongoDB compatibility and develop with existing tools and frameworks.

Target Users

CapybaraDB is suitable for developers and enterprises who need to quickly build AI applications. By simplifying the data processing and storage process, it lowers the development threshold, improves development efficiency, and reduces operating costs. CapybaraDB is an ideal choice for users who need to process multiple data types (such as text, images, etc.) and want to manage them on a unified platform.

Examples

An image recognition application that uses CapybaraDB to automatically convert images to text and conduct semantic searches.

A content management system that stores and retrieves large amounts of text and media files via CapybaraDB without the need for complex data pipelines.

A recommendation system that leverages CapybaraDB's vector indexing capabilities to quickly retrieve and recommend relevant content.

Quick Access

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Categories

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› Development and Tools
› database

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