CapybaraDB is a high-level database for AI applications that automates data management asynchronously. It is built on robust, proven technologies, including MongoDB, Pinecone, and AWS S3.
Asynchronous Processing: Embedding processes run in the background so the client isn’t left waiting.
💻Introducing EmbJSON – CapybaraDB Extended JSON: EmbJSON lets you perform semantic searches on ANY field in your JSON document without needing a semantic index. No embedding, chunking, or media-to-text processing is required.
🧑🏻💻Example EmbJSON Usage:
# Semantically retrievable user profiles
users = [{
"firstName": "Alice",
"pic": EmbImage(base64_image_data), # Raw image data
"bio": EmbText("Explorer of curious places. And she ...") # long text data
}]
collection.insert(users)
Simply wrapping the "pic" and "bio" fields makes them semantically searchable 🔥
Hello, Product Hunt! I'm Tomo, and I'm the co-founder of CapybaraDB. I'm excited to share our product today!
🙋🏻What is CapybaraDB?
Built on Top of MongoDB and Pinecone: Leverages robust underlying technologies.
High-Level Data Management Abstraction: Simplifies complex data operations.
Multi-Modal Support: Natively handles text, images, videos, audio, websites, and more.
Robust Semantic Search Automation: Delivers precise, context-aware search capabilities.
Asynchronous Processing: Embedding processes run in the background so the client isn’t left waiting.
💻Introducing EmbJSON – CapybaraDB Extended JSON:
EmbJSON lets you perform semantic searches on ANY field in your JSON document without needing a semantic index. No embedding, chunking, or media-to-text processing is required.
🧑🏻💻Example EmbJSON Usage:
Simply wrapping the "pic" and "bio" fields makes them semantically searchable 🔥
Would love to have your feedback!
Happy building!