AI-Native Database
Made Simple

Build AI applications 10x faster

Media-to-text, chunking, embedding, indexing...

Built on Reliable, Proven Technologies

  • Pinecone
  • MongoDB
  • Redis
  • Redis
  • Pinecone
  • MongoDB
  • Redis
  • Redis

CapybaraDB Is a High-Level Database

High-Level Database

A high-level database abstracts traditional systems by unifying diverse storage types (NoSQL, vector, object) into a single interface. This allows developers to manage varied data seamlessly without juggling multiple databases or complex pipelines.

CapybaraDBCapybaraDB

Low-Level Database

A low-level database requires developers to manage individual database types and build complex pipelines to connect them. This approach demands specialized knowledge and manual setup for handling diverse data types.

MySQLMongoDBPostgreSQLRedisPineconeAmazon S3SQLiteCassandra

Database Abstraction

A Single Database That Handles It All

C
PythonJavaScript
MongoDB
Pinecone
CapybaraDBCapybaraDB

With CapybaraDB, all the complexities of managing multiple databases are eliminated. Much like how Python and JavaScript simplify programming compared to low-level languages, CapybaraDB unifies the full capabilities of NoSQL, vector databases, and object storage into a single system.

Faster

Abstracted database interface makes it much easier to save, index, and retrieve your data.

Cheaper

Optimize database management and reduce operational costs by automating tasks and minimizing manual intervention.

Save Effortlessly with No Pipeline

Manual chunking, embedding, indexing, referencing, and more

All processes are handled asynchronously. No matter the size of your data, receive an instant response.

Example of No Pipeline saving process

Retrieve Semantically

Benefit from built-in features like query optimization, projection, filtering, and more.

Semantic retrieval code example

Field-level Control

Use different embedding models, chunking strategies, etc., for each field to meet specific requirements.

Field-level control code example

Powerful Features

Everything you need to build AI-powered applications

Automated Data Processing

CapybaraDB Extended JSON automates complex tasks like image-to-text conversion, text chunking, embedding generation, and vector indexing, saving developers from manually handling these processes.

Customizable Embeddings

Developers can choose the embedding model for each JSON field, giving flexibility and control over how text and images are processed for semantic search.

Seamless Nested Fields

CapybaraDB Extended JSON can be placed in any nested field, allowing complex data structures to be stored and indexed efficiently without constraints.

Effortless Media Storage

Store large media files, such as images, directly within the database without needing to deal with separate object storage systems.

Signed URLs for Media

Every saved media file is automatically assigned a signed URL, making it easy to retrieve and securely share stored media.

Customizable Parameters

Easily adjust parameters like chunk size and embedding models to fine-tune how data is processed and indexed.

Asynchronous Processing

CapybaraDB processes data asynchronously, ensuring your users don't have to wait while embedding and indexing happens in the background.

MongoDB Compatibility

Fully MongoDB-compatible, CapybaraDB Extended JSON benefits from MongoDB's rich ecosystem, extensive documentation, and community support.